id	sid	tid	token	lemma	pos
cuesj-323	1	1	tx_1	tx_1	PROPN
cuesj-323	1	2	~	~	X
cuesj-323	1	3	abs	ab	NOUN
cuesj-323	1	4	:	:	PUNCT
cuesj-323	1	5	at	at	ADP
cuesj-323	1	6	/	/	SYM
cuesj-323	1	7	add	add	VERB
cuesj-323	1	8	:	:	PUNCT
cuesj-323	1	9	tx_2	tx_2	PROPN
cuesj-323	1	10	~	~	NOUN
cuesj-323	1	11	abs	ab	NOUN
cuesj-323	1	12	:	:	PUNCT
cuesj-323	1	13	at	at	ADP
cuesj-323	1	14	1	1	NUM
cuesj-323	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	1	16	cuesj	cuesj	ADJ
cuesj-323	1	17	2021	2021	NUM
cuesj-323	1	18	,	,	PUNCT
cuesj-323	1	19	5	5	NUM
cuesj-323	1	20	(	(	PUNCT
cuesj-323	1	21	1	1	NUM
cuesj-323	1	22	):	):	PUNCT
cuesj-323	1	23	1	1	NUM
cuesj-323	1	24	-	-	SYM
cuesj-323	1	25	10	10	NUM
cuesj-323	1	26	review	review	NOUN
cuesj-323	1	27	article	article	NOUN
cuesj-323	1	28	on	on	ADP
cuesj-323	1	29	the	the	DET
cuesj-323	1	30	development	development	NOUN
cuesj-323	1	31	of	of	ADP
cuesj-323	1	32	a	a	DET
cuesj-323	1	33	multilayered	multilayered	ADJ
cuesj-323	1	34	agent	agent	NOUN
cuesj-323	1	35	-	-	PUNCT
cuesj-323	1	36	based	base	VERB
cuesj-323	1	37	heuristic	heuristic	ADJ
cuesj-323	1	38	system	system	NOUN
cuesj-323	1	39	for	for	ADP
cuesj-323	1	40	vehicle	vehicle	NOUN
cuesj-323	1	41	routing	routing	NOUN
cuesj-323	1	42	problem	problem	NOUN
cuesj-323	1	43	under	under	ADP
cuesj-323	1	44	random	random	ADJ
cuesj-323	1	45	vehicle	vehicle	NOUN
cuesj-323	1	46	breakdown	breakdown	NOUN
cuesj-323	1	47	anees	anees	PROPN
cuesj-323	1	48	m.	m.	PROPN
cuesj-323	1	49	abu	abu	PROPN
cuesj-323	1	50	-	-	PUNCT
cuesj-323	1	51	monshar1	monshar1	PROPN
cuesj-323	1	52	,	,	PUNCT
cuesj-323	1	53	ammar	ammar	PROPN
cuesj-323	1	54	f.	f.	PROPN
cuesj-323	1	55	al	al	PROPN
cuesj-323	1	56	-	-	PUNCT
cuesj-323	1	57	bazi1	bazi1	PROPN
cuesj-323	1	58	*	*	PROPN
cuesj-323	1	59	,	,	PUNCT
cuesj-323	1	60	qusay	qusay	PROPN
cuesj-323	1	61	h.	h.	PROPN
cuesj-323	1	62	al	al	PROPN
cuesj-323	1	63	-	-	PUNCT
cuesj-323	1	64	salami2	salami2	PROPN
cuesj-323	1	65	1faculty	1faculty	NUM
cuesj-323	1	66	of	of	ADP
cuesj-323	1	67	engineering	engineering	NOUN
cuesj-323	1	68	,	,	PUNCT
cuesj-323	1	69	environment	environment	NOUN
cuesj-323	1	70	and	and	CCONJ
cuesj-323	1	71	computing	computing	NOUN
cuesj-323	1	72	,	,	PUNCT
cuesj-323	1	73	coventry	coventry	NOUN
cuesj-323	1	74	university	university	PROPN
cuesj-323	1	75	,	,	PUNCT
cuesj-323	1	76	coventry	coventry	NOUN
cuesj-323	1	77	,	,	PUNCT
cuesj-323	1	78	united	united	ADJ
cuesj-323	1	79	kingdom	kingdom	PROPN
cuesj-323	1	80	,	,	PUNCT
cuesj-323	1	81	2department	2department	NUM
cuesj-323	1	82	of	of	ADP
cuesj-323	1	83	business	business	NOUN
cuesj-323	1	84	administration	administration	NOUN
cuesj-323	1	85	,	,	PUNCT
cuesj-323	1	86	cihan	cihan	VERB
cuesj-323	1	87	university	university	NOUN
cuesj-323	1	88	-	-	PUNCT
cuesj-323	1	89	erbil	erbil	PROPN
cuesj-323	1	90	,	,	PUNCT
cuesj-323	1	91	kurdistan	kurdistan	ADJ
cuesj-323	1	92	region	region	NOUN
cuesj-323	1	93	,	,	PUNCT
cuesj-323	1	94	iraq	iraq	PROPN
cuesj-323	1	95	abstract	abstract	ADJ
cuesj-323	1	96	with	with	ADP
cuesj-323	1	97	the	the	DET
cuesj-323	1	98	recent	recent	ADJ
cuesj-323	1	99	technological	technological	ADJ
cuesj-323	1	100	advancement	advancement	NOUN
cuesj-323	1	101	,	,	PUNCT
cuesj-323	1	102	the	the	DET
cuesj-323	1	103	dynamic	dynamic	ADJ
cuesj-323	1	104	vehicle	vehicle	NOUN
cuesj-323	1	105	routing	routing	NOUN
cuesj-323	1	106	problem	problem	NOUN
cuesj-323	1	107	is	be	AUX
cuesj-323	1	108	becoming	become	VERB
cuesj-323	1	109	more	more	ADV
cuesj-323	1	110	applicable	applicable	ADJ
cuesj-323	1	111	.	.	PUNCT
cuesj-323	2	1	however	however	ADV
cuesj-323	2	2	,	,	PUNCT
cuesj-323	2	3	almost	almost	ADV
cuesj-323	2	4	all	all	PRON
cuesj-323	2	5	of	of	ADP
cuesj-323	2	6	the	the	DET
cuesj-323	2	7	researches	research	NOUN
cuesj-323	2	8	in	in	ADP
cuesj-323	2	9	this	this	DET
cuesj-323	2	10	field	field	NOUN
cuesj-323	2	11	limited	limit	VERB
cuesj-323	2	12	the	the	DET
cuesj-323	2	13	source	source	NOUN
cuesj-323	2	14	of	of	ADP
cuesj-323	2	15	dynamism	dynamism	NOUN
cuesj-323	2	16	from	from	ADP
cuesj-323	2	17	the	the	DET
cuesj-323	2	18	order	order	NOUN
cuesj-323	2	19	side	side	NOUN
cuesj-323	2	20	instead	instead	ADV
cuesj-323	2	21	of	of	ADP
cuesj-323	2	22	the	the	DET
cuesj-323	2	23	vehicle	vehicle	NOUN
cuesj-323	2	24	and	and	CCONJ
cuesj-323	2	25	the	the	DET
cuesj-323	2	26	adoption	adoption	NOUN
cuesj-323	2	27	of	of	ADP
cuesj-323	2	28	inflexible	inflexible	ADJ
cuesj-323	2	29	tools	tool	NOUN
cuesj-323	2	30	that	that	PRON
cuesj-323	2	31	are	be	AUX
cuesj-323	2	32	mainly	mainly	ADV
cuesj-323	2	33	designed	design	VERB
cuesj-323	2	34	for	for	ADP
cuesj-323	2	35	the	the	DET
cuesj-323	2	36	static	static	ADJ
cuesj-323	2	37	problem	problem	NOUN
cuesj-323	2	38	,	,	PUNCT
cuesj-323	2	39	considering	consider	VERB
cuesj-323	2	40	multiple	multiple	ADJ
cuesj-323	2	41	random	random	ADJ
cuesj-323	2	42	vehicle	vehicle	NOUN
cuesj-323	2	43	breakdowns	breakdown	NOUN
cuesj-323	2	44	complicate	complicate	VERB
cuesj-323	2	45	how	how	SCONJ
cuesj-323	2	46	to	to	PART
cuesj-323	2	47	adapt	adapt	VERB
cuesj-323	2	48	and	and	CCONJ
cuesj-323	2	49	distribute	distribute	VERB
cuesj-323	2	50	the	the	DET
cuesj-323	2	51	workload	workload	NOUN
cuesj-323	2	52	to	to	ADP
cuesj-323	2	53	other	other	ADJ
cuesj-323	2	54	functioning	function	VERB
cuesj-323	2	55	vehicles	vehicle	NOUN
cuesj-323	2	56	.	.	PUNCT
cuesj-323	3	1	in	in	ADP
cuesj-323	3	2	this	this	DET
cuesj-323	3	3	ongoing	ongoing	ADJ
cuesj-323	3	4	phd	phd	NOUN
cuesj-323	3	5	research	research	NOUN
cuesj-323	3	6	,	,	PUNCT
cuesj-323	3	7	a	a	DET
cuesj-323	3	8	proposed	propose	VERB
cuesj-323	3	9	multilayered	multilayere	VERB
cuesj-323	3	10	agent	agent	NOUN
cuesj-323	3	11	-	-	PUNCT
cuesj-323	3	12	based	base	VERB
cuesj-323	3	13	model	model	NOUN
cuesj-323	3	14	(	(	PUNCT
cuesj-323	3	15	abm	abm	PROPN
cuesj-323	3	16	)	)	PUNCT
cuesj-323	3	17	and	and	CCONJ
cuesj-323	3	18	a	a	DET
cuesj-323	3	19	modeling	modeling	NOUN
cuesj-323	3	20	framework	framework	NOUN
cuesj-323	3	21	on	on	ADP
cuesj-323	3	22	dealing	deal	VERB
cuesj-323	3	23	with	with	ADP
cuesj-323	3	24	such	such	ADJ
cuesj-323	3	25	disruptive	disruptive	ADJ
cuesj-323	3	26	events	event	NOUN
cuesj-323	3	27	in	in	ADP
cuesj-323	3	28	a	a	DET
cuesj-323	3	29	continuous	continuous	ADJ
cuesj-323	3	30	reactive	reactive	NOUN
cuesj-323	3	31	manner	manner	NOUN
cuesj-323	3	32	.	.	PUNCT
cuesj-323	4	1	the	the	DET
cuesj-323	4	2	model	model	NOUN
cuesj-323	4	3	is	be	AUX
cuesj-323	4	4	partially	partially	ADV
cuesj-323	4	5	constructed	construct	VERB
cuesj-323	4	6	and	and	CCONJ
cuesj-323	4	7	experimented	experiment	VERB
cuesj-323	4	8	,	,	PUNCT
cuesj-323	4	9	with	with	ADP
cuesj-323	4	10	a	a	DET
cuesj-323	4	11	developed	develop	VERB
cuesj-323	4	12	clustering	clustering	NOUN
cuesj-323	4	13	rule	rule	NOUN
cuesj-323	4	14	,	,	PUNCT
cuesj-323	4	15	on	on	ADP
cuesj-323	4	16	two	two	NUM
cuesj-323	4	17	randomly	randomly	ADV
cuesj-323	4	18	generated	generate	VERB
cuesj-323	4	19	scenarios	scenario	NOUN
cuesj-323	4	20	for	for	ADP
cuesj-323	4	21	validation	validation	NOUN
cuesj-323	4	22	.	.	PUNCT
cuesj-323	5	1	the	the	DET
cuesj-323	5	2	rule	rule	NOUN
cuesj-323	5	3	achieved	achieve	VERB
cuesj-323	5	4	reasonable	reasonable	ADJ
cuesj-323	5	5	order	order	NOUN
cuesj-323	5	6	allocation	allocation	NOUN
cuesj-323	5	7	to	to	ADP
cuesj-323	5	8	vehicles	vehicle	NOUN
cuesj-323	5	9	and	and	CCONJ
cuesj-323	5	10	reacted	react	VERB
cuesj-323	5	11	to	to	ADP
cuesj-323	5	12	different	different	ADJ
cuesj-323	5	13	problem	problem	NOUN
cuesj-323	5	14	sizes	size	NOUN
cuesj-323	5	15	by	by	ADP
cuesj-323	5	16	rejecting	reject	VERB
cuesj-323	5	17	orders	order	NOUN
cuesj-323	5	18	over	over	ADP
cuesj-323	5	19	the	the	DET
cuesj-323	5	20	model	model	NOUN
cuesj-323	5	21	capacity	capacity	NOUN
cuesj-323	5	22	.	.	PUNCT
cuesj-323	6	1	this	this	DET
cuesj-323	6	2	allocation	allocation	NOUN
cuesj-323	6	3	shows	show	VERB
cuesj-323	6	4	a	a	DET
cuesj-323	6	5	promising	promising	ADJ
cuesj-323	6	6	path	path	NOUN
cuesj-323	6	7	in	in	ADP
cuesj-323	6	8	fully	fully	ADV
cuesj-323	6	9	adopting	adopt	VERB
cuesj-323	6	10	the	the	DET
cuesj-323	6	11	abm	abm	PROPN
cuesj-323	6	12	model	model	NOUN
cuesj-323	6	13	in	in	ADP
cuesj-323	6	14	this	this	DET
cuesj-323	6	15	dynamic	dynamic	ADJ
cuesj-323	6	16	problem	problem	NOUN
cuesj-323	6	17	.	.	PUNCT
cuesj-323	7	1	keywords	keyword	NOUN
cuesj-323	7	2	:	:	PUNCT
cuesj-323	7	3	agent	agent	NOUN
cuesj-323	7	4	-	-	PUNCT
cuesj-323	7	5	based	base	VERB
cuesj-323	7	6	modeling	modeling	NOUN
cuesj-323	7	7	,	,	PUNCT
cuesj-323	7	8	dynamic	dynamic	ADJ
cuesj-323	7	9	,	,	PUNCT
cuesj-323	7	10	vehicle	vehicle	NOUN
cuesj-323	7	11	routing	routing	NOUN
cuesj-323	7	12	,	,	PUNCT
cuesj-323	7	13	breakdown	breakdown	ADJ
cuesj-323	7	14	,	,	PUNCT
cuesj-323	7	15	heuristic	heuristic	ADJ
cuesj-323	7	16	introduction	introduction	NOUN
cuesj-323	7	17	technological	technological	ADJ
cuesj-323	7	18	advancements	advancement	NOUN
cuesj-323	7	19	in	in	ADP
cuesj-323	7	20	computing	computing	NOUN
cuesj-323	7	21	and	and	CCONJ
cuesj-323	7	22	communication	communication	NOUN
cuesj-323	7	23	are	be	AUX
cuesj-323	7	24	believed	believe	VERB
cuesj-323	7	25	to	to	PART
cuesj-323	7	26	influence	influence	VERB
cuesj-323	7	27	how	how	SCONJ
cuesj-323	7	28	businesses	business	NOUN
cuesj-323	7	29	are	be	AUX
cuesj-323	7	30	operated	operate	VERB
cuesj-323	7	31	significantly	significantly	ADV
cuesj-323	7	32	.	.	PUNCT
cuesj-323	8	1	the	the	DET
cuesj-323	8	2	internet	internet	NOUN
cuesj-323	8	3	of	of	ADP
cuesj-323	8	4	things	thing	NOUN
cuesj-323	8	5	concept	concept	NOUN
cuesj-323	8	6	is	be	AUX
cuesj-323	8	7	one	one	NUM
cuesj-323	8	8	of	of	ADP
cuesj-323	8	9	the	the	DET
cuesj-323	8	10	main	main	ADJ
cuesj-323	8	11	drivers	driver	NOUN
cuesj-323	8	12	in	in	ADP
cuesj-323	8	13	revolutionizing	revolutionize	VERB
cuesj-323	8	14	business	business	NOUN
cuesj-323	8	15	processes	process	NOUN
cuesj-323	8	16	by	by	ADP
cuesj-323	8	17	supplying	supply	VERB
cuesj-323	8	18	physical	physical	ADJ
cuesj-323	8	19	objects	object	NOUN
cuesj-323	8	20	with	with	ADP
cuesj-323	8	21	electronic	electronic	ADJ
cuesj-323	8	22	devices	device	NOUN
cuesj-323	8	23	that	that	PRON
cuesj-323	8	24	will	will	AUX
cuesj-323	8	25	allow	allow	VERB
cuesj-323	8	26	for	for	ADP
cuesj-323	8	27	real	real	ADJ
cuesj-323	8	28	-	-	PUNCT
cuesj-323	8	29	time	time	NOUN
cuesj-323	8	30	control	control	NOUN
cuesj-323	8	31	and	and	CCONJ
cuesj-323	8	32	monitoring	monitoring	NOUN
cuesj-323	8	33	of	of	ADP
cuesj-323	8	34	such	such	ADJ
cuesj-323	8	35	objects.[1	objects.[1	NOUN
cuesj-323	8	36	]	]	PUNCT
cuesj-323	8	37	the	the	DET
cuesj-323	8	38	“	"	PUNCT
cuesj-323	8	39	industrie	industrie	NOUN
cuesj-323	8	40	4.0	4.0	NUM
cuesj-323	8	41	”	"	PUNCT
cuesj-323	8	42	concept	concept	NOUN
cuesj-323	8	43	further	far	ADV
cuesj-323	8	44	supports	support	VERB
cuesj-323	8	45	such	such	DET
cuesj-323	8	46	a	a	DET
cuesj-323	8	47	revolution	revolution	NOUN
cuesj-323	8	48	by	by	ADP
cuesj-323	8	49	providing	provide	VERB
cuesj-323	8	50	more	more	ADV
cuesj-323	8	51	customized	customize	VERB
cuesj-323	8	52	services	service	NOUN
cuesj-323	8	53	efficiently.[2	efficiently.[2	NOUN
cuesj-323	8	54	]	]	PUNCT
cuesj-323	8	55	the	the	DET
cuesj-323	8	56	transportation	transportation	NOUN
cuesj-323	8	57	and	and	CCONJ
cuesj-323	8	58	logistics	logistic	NOUN
cuesj-323	8	59	fields	field	NOUN
cuesj-323	8	60	are	be	AUX
cuesj-323	8	61	far	far	ADV
cuesj-323	8	62	from	from	ADP
cuesj-323	8	63	these	these	DET
cuesj-323	8	64	transformational	transformational	ADJ
cuesj-323	8	65	concepts	concept	NOUN
cuesj-323	8	66	as	as	SCONJ
cuesj-323	8	67	they	they	PRON
cuesj-323	8	68	are	be	AUX
cuesj-323	8	69	one	one	NUM
cuesj-323	8	70	of	of	ADP
cuesj-323	8	71	the	the	DET
cuesj-323	8	72	main	main	ADJ
cuesj-323	8	73	themes	theme	NOUN
cuesj-323	8	74	for	for	ADP
cuesj-323	8	75	potential	potential	ADJ
cuesj-323	8	76	integration.[3	integration.[3	PROPN
cuesj-323	8	77	]	]	PUNCT
cuesj-323	8	78	vehicle	vehicle	NOUN
cuesj-323	8	79	routing	routing	NOUN
cuesj-323	8	80	problem	problem	NOUN
cuesj-323	8	81	(	(	PUNCT
cuesj-323	8	82	vrp	vrp	NOUN
cuesj-323	8	83	)	)	PUNCT
cuesj-323	8	84	is	be	AUX
cuesj-323	8	85	one	one	NUM
cuesj-323	8	86	of	of	ADP
cuesj-323	8	87	the	the	DET
cuesj-323	8	88	well	well	ADV
cuesj-323	8	89	-	-	PUNCT
cuesj-323	8	90	known	know	VERB
cuesj-323	8	91	logistical	logistical	ADJ
cuesj-323	8	92	problems	problem	NOUN
cuesj-323	8	93	extended	extend	VERB
cuesj-323	8	94	from	from	ADP
cuesj-323	8	95	the	the	DET
cuesj-323	8	96	travelling	travel	VERB
cuesj-323	8	97	salesman	salesman	NOUN
cuesj-323	8	98	problem	problem	NOUN
cuesj-323	8	99	(	(	PUNCT
cuesj-323	8	100	tsp	tsp	NOUN
cuesj-323	8	101	)	)	PUNCT
cuesj-323	8	102	to	to	PART
cuesj-323	8	103	accommodate	accommodate	VERB
cuesj-323	8	104	additional	additional	ADJ
cuesj-323	8	105	constraints	constraint	NOUN
cuesj-323	8	106	.	.	PUNCT
cuesj-323	9	1	the	the	DET
cuesj-323	9	2	problem	problem	NOUN
cuesj-323	9	3	was	be	AUX
cuesj-323	9	4	first	first	ADV
cuesj-323	9	5	seen	see	VERB
cuesj-323	9	6	in	in	ADP
cuesj-323	9	7	1959	1959	NUM
cuesj-323	9	8	by	by	ADP
cuesj-323	9	9	dantzig	dantzig	NOUN
cuesj-323	9	10	and	and	CCONJ
cuesj-323	9	11	ramser,[4	ramser,[4	X
cuesj-323	9	12	]	]	PUNCT
cuesj-323	9	13	concerned	concerned	ADJ
cuesj-323	9	14	about	about	ADP
cuesj-323	9	15	providing	provide	VERB
cuesj-323	9	16	vehicles	vehicle	NOUN
cuesj-323	9	17	to	to	PART
cuesj-323	9	18	visit	visit	VERB
cuesj-323	9	19	customers	customer	NOUN
cuesj-323	9	20	’	'	PUNCT
cuesj-323	9	21	locations	location	NOUN
cuesj-323	9	22	starting	start	VERB
cuesj-323	9	23	and	and	CCONJ
cuesj-323	9	24	ending	end	VERB
cuesj-323	9	25	at	at	ADP
cuesj-323	9	26	a	a	DET
cuesj-323	9	27	depot	depot	NOUN
cuesj-323	9	28	.	.	PUNCT
cuesj-323	10	1	other	other	ADJ
cuesj-323	10	2	variants	variant	NOUN
cuesj-323	10	3	of	of	ADP
cuesj-323	10	4	the	the	DET
cuesj-323	10	5	problem	problem	NOUN
cuesj-323	10	6	were	be	AUX
cuesj-323	10	7	later	later	ADV
cuesj-323	10	8	introduced	introduce	VERB
cuesj-323	10	9	:	:	PUNCT
cuesj-323	10	10	capacitated	capacitate	VERB
cuesj-323	10	11	vehicles	vehicle	NOUN
cuesj-323	10	12	,	,	PUNCT
cuesj-323	10	13	time	time	NOUN
cuesj-323	10	14	window	window	NOUN
cuesj-323	10	15	constraint	constraint	NOUN
cuesj-323	10	16	,	,	PUNCT
cuesj-323	10	17	multiple	multiple	ADJ
cuesj-323	10	18	depots	depot	NOUN
cuesj-323	10	19	,	,	PUNCT
cuesj-323	10	20	and	and	CCONJ
cuesj-323	10	21	pick	pick	NOUN
cuesj-323	10	22	-	-	PUNCT
cuesj-323	10	23	up	up	NOUN
cuesj-323	10	24	before	before	SCONJ
cuesj-323	10	25	delivery.[5	delivery.[5	NOUN
cuesj-323	10	26	]	]	X
cuesj-323	10	27	vrp	vrp	PROPN
cuesj-323	10	28	is	be	AUX
cuesj-323	10	29	proven	prove	VERB
cuesj-323	10	30	to	to	PART
cuesj-323	10	31	be	be	AUX
cuesj-323	10	32	np	np	ADP
cuesj-323	10	33	hard,[6	hard,[6	NOUN
cuesj-323	10	34	]	]	PUNCT
cuesj-323	10	35	and	and	CCONJ
cuesj-323	10	36	solutions	solution	NOUN
cuesj-323	10	37	adopted	adopt	VERB
cuesj-323	10	38	are	be	AUX
cuesj-323	10	39	mainly	mainly	ADV
cuesj-323	10	40	(	(	PUNCT
cuesj-323	10	41	meta)-heuristics	meta)-heuristic	NOUN
cuesj-323	10	42	that	that	PRON
cuesj-323	10	43	provide	provide	VERB
cuesj-323	10	44	near	near	ADP
cuesj-323	10	45	-	-	PUNCT
cuesj-323	10	46	optimal	optimal	ADJ
cuesj-323	10	47	routes	route	NOUN
cuesj-323	10	48	;	;	PUNCT
cuesj-323	10	49	for	for	ADP
cuesj-323	10	50	example	example	NOUN
cuesj-323	10	51	,	,	PUNCT
cuesj-323	10	52	solomon[7	solomon[7	PROPN
cuesj-323	10	53	]	]	PUNCT
cuesj-323	10	54	adopted	adopt	VERB
cuesj-323	10	55	an	an	DET
cuesj-323	10	56	insertion	insertion	NOUN
cuesj-323	10	57	heuristic	heuristic	NOUN
cuesj-323	10	58	for	for	ADP
cuesj-323	10	59	vrp	vrp	PROPN
cuesj-323	10	60	with	with	ADP
cuesj-323	10	61	time	time	NOUN
cuesj-323	10	62	window	window	NOUN
cuesj-323	10	63	and	and	CCONJ
cuesj-323	10	64	schneider[8	schneider[8	PROPN
cuesj-323	10	65	]	]	PUNCT
cuesj-323	10	66	adopted	adopt	VERB
cuesj-323	10	67	tabu	tabu	NOUN
cuesj-323	10	68	search	search	NOUN
cuesj-323	10	69	(	(	PUNCT
cuesj-323	10	70	ts	ts	NOUN
cuesj-323	10	71	)	)	PUNCT
cuesj-323	10	72	.	.	PUNCT
cuesj-323	11	1	although	although	SCONJ
cuesj-323	11	2	vrp	vrp	PROPN
cuesj-323	11	3	problems	problem	NOUN
cuesj-323	11	4	have	have	AUX
cuesj-323	11	5	been	be	AUX
cuesj-323	11	6	well	well	ADV
cuesj-323	11	7	-	-	PUNCT
cuesj-323	11	8	explored	explore	VERB
cuesj-323	11	9	,	,	PUNCT
cuesj-323	11	10	it	it	PRON
cuesj-323	11	11	is	be	AUX
cuesj-323	11	12	only	only	ADV
cuesj-323	11	13	the	the	DET
cuesj-323	11	14	static	static	ADJ
cuesj-323	11	15	type	type	NOUN
cuesj-323	11	16	of	of	ADP
cuesj-323	11	17	the	the	DET
cuesj-323	11	18	problem	problem	NOUN
cuesj-323	11	19	that	that	PRON
cuesj-323	11	20	has	have	AUX
cuesj-323	11	21	been	be	AUX
cuesj-323	11	22	researched	research	VERB
cuesj-323	11	23	and	and	CCONJ
cuesj-323	11	24	recent	recent	ADJ
cuesj-323	11	25	research	research	NOUN
cuesj-323	11	26	interested	interested	ADJ
cuesj-323	11	27	in	in	ADP
cuesj-323	11	28	shifting	shift	VERB
cuesj-323	11	29	toward	toward	ADP
cuesj-323	11	30	the	the	DET
cuesj-323	11	31	online	online	ADJ
cuesj-323	11	32	and	and	CCONJ
cuesj-323	11	33	dynamic	dynamic	ADJ
cuesj-323	11	34	problem.[9	problem.[9	NOUN
cuesj-323	11	35	]	]	X
cuesj-323	11	36	several	several	ADJ
cuesj-323	11	37	pieces	piece	NOUN
cuesj-323	11	38	of	of	ADP
cuesj-323	11	39	research	research	NOUN
cuesj-323	11	40	have	have	AUX
cuesj-323	11	41	been	be	AUX
cuesj-323	11	42	done	do	VERB
cuesj-323	11	43	on	on	ADP
cuesj-323	11	44	the	the	DET
cuesj-323	11	45	dynamic	dynamic	ADJ
cuesj-323	11	46	vehicle	vehicle	NOUN
cuesj-323	11	47	routing	routing	NOUN
cuesj-323	11	48	problem	problem	NOUN
cuesj-323	11	49	(	(	PUNCT
cuesj-323	11	50	dvrp	dvrp	PROPN
cuesj-323	11	51	)	)	PUNCT
cuesj-323	11	52	;	;	PUNCT
cuesj-323	11	53	however	however	ADV
cuesj-323	11	54	,	,	PUNCT
cuesj-323	11	55	it	it	PRON
cuesj-323	11	56	only	only	ADV
cuesj-323	11	57	focused	focus	VERB
cuesj-323	11	58	on	on	ADP
cuesj-323	11	59	updates	update	NOUN
cuesj-323	11	60	to	to	ADP
cuesj-323	11	61	customer	customer	NOUN
cuesj-323	11	62	orders	order	NOUN
cuesj-323	11	63	,	,	PUNCT
cuesj-323	11	64	new	new	ADJ
cuesj-323	11	65	orders	order	NOUN
cuesj-323	11	66	,	,	PUNCT
cuesj-323	11	67	or	or	CCONJ
cuesj-323	11	68	cancellation	cancellation	NOUN
cuesj-323	11	69	,	,	PUNCT
cuesj-323	11	70	rather	rather	ADV
cuesj-323	11	71	than	than	ADP
cuesj-323	11	72	disruptions	disruption	NOUN
cuesj-323	11	73	in	in	ADP
cuesj-323	11	74	vehicle	vehicle	NOUN
cuesj-323	11	75	operations	operation	NOUN
cuesj-323	11	76	.	.	PUNCT
cuesj-323	12	1	furthermore	furthermore	ADV
cuesj-323	12	2	,	,	PUNCT
cuesj-323	12	3	solutions	solution	NOUN
cuesj-323	12	4	adopted	adopt	VERB
cuesj-323	12	5	in	in	ADP
cuesj-323	12	6	such	such	ADJ
cuesj-323	12	7	dynamic	dynamic	ADJ
cuesj-323	12	8	problems	problem	NOUN
cuesj-323	12	9	are	be	AUX
cuesj-323	12	10	still	still	ADV
cuesj-323	12	11	inspired	inspire	VERB
cuesj-323	12	12	by	by	ADP
cuesj-323	12	13	the	the	DET
cuesj-323	12	14	classical	classical	ADJ
cuesj-323	12	15	and	and	CCONJ
cuesj-323	12	16	static	static	ADJ
cuesj-323	12	17	vrp	vrp	PROPN
cuesj-323	12	18	,	,	PUNCT
cuesj-323	12	19	making	make	VERB
cuesj-323	12	20	them	they	PRON
cuesj-323	12	21	inflexible	inflexible	ADJ
cuesj-323	12	22	in	in	ADP
cuesj-323	12	23	adopting	adopt	VERB
cuesj-323	12	24	changes	change	NOUN
cuesj-323	12	25	.	.	PUNCT
cuesj-323	13	1	therefore	therefore	ADV
cuesj-323	13	2	,	,	PUNCT
cuesj-323	13	3	the	the	DET
cuesj-323	13	4	agent	agent	NOUN
cuesj-323	13	5	-	-	PUNCT
cuesj-323	13	6	based	base	VERB
cuesj-323	13	7	modeling	modeling	NOUN
cuesj-323	13	8	(	(	PUNCT
cuesj-323	13	9	abm	abm	PROPN
cuesj-323	13	10	)	)	PUNCT
cuesj-323	13	11	approach	approach	NOUN
cuesj-323	13	12	is	be	AUX
cuesj-323	13	13	proposed	propose	VERB
cuesj-323	13	14	to	to	PART
cuesj-323	13	15	dvrp	dvrp	VERB
cuesj-323	13	16	under	under	ADP
cuesj-323	13	17	breakdown	breakdown	NOUN
cuesj-323	13	18	due	due	ADP
cuesj-323	13	19	to	to	ADP
cuesj-323	13	20	the	the	DET
cuesj-323	13	21	responsive	responsive	ADJ
cuesj-323	13	22	and	and	CCONJ
cuesj-323	13	23	flexible	flexible	ADJ
cuesj-323	13	24	approach	approach	NOUN
cuesj-323	13	25	in	in	ADP
cuesj-323	13	26	producing	produce	VERB
cuesj-323	13	27	solutions	solution	NOUN
cuesj-323	13	28	in	in	ADP
cuesj-323	13	29	such	such	DET
cuesj-323	13	30	a	a	DET
cuesj-323	13	31	dynamic	dynamic	ADJ
cuesj-323	13	32	context	context	NOUN
cuesj-323	13	33	.	.	PUNCT
cuesj-323	14	1	this	this	DET
cuesj-323	14	2	paper	paper	NOUN
cuesj-323	14	3	addresses	address	VERB
cuesj-323	14	4	this	this	DET
cuesj-323	14	5	dynamic	dynamic	ADJ
cuesj-323	14	6	breakdown	breakdown	NOUN
cuesj-323	14	7	problem	problem	NOUN
cuesj-323	14	8	due	due	ADP
cuesj-323	14	9	to	to	ADP
cuesj-323	14	10	its	its	PRON
cuesj-323	14	11	applicability	applicability	NOUN
cuesj-323	14	12	to	to	PART
cuesj-323	14	13	recover	recover	VERB
cuesj-323	14	14	optimal	optimal	ADJ
cuesj-323	14	15	schedule	schedule	NOUN
cuesj-323	14	16	and	and	CCONJ
cuesj-323	14	17	routes	route	NOUN
cuesj-323	14	18	of	of	ADP
cuesj-323	14	19	a	a	DET
cuesj-323	14	20	logistical	logistical	ADJ
cuesj-323	14	21	operation	operation	NOUN
cuesj-323	14	22	where	where	SCONJ
cuesj-323	14	23	vehicle	vehicle	NOUN
cuesj-323	14	24	failures	failure	NOUN
cuesj-323	14	25	occur	occur	VERB
cuesj-323	14	26	or	or	CCONJ
cuesj-323	14	27	when	when	SCONJ
cuesj-323	14	28	corresponding	corresponding	ADJ
cuesj-323	14	29	author	author	NOUN
cuesj-323	14	30	:	:	PUNCT
cuesj-323	14	31	ammar	ammar	PROPN
cuesj-323	14	32	f.	f.	PROPN
cuesj-323	14	33	al	al	PROPN
cuesj-323	14	34	-	-	PUNCT
cuesj-323	14	35	bazi	bazi	PROPN
cuesj-323	14	36	,	,	PUNCT
cuesj-323	14	37	faculty	faculty	NOUN
cuesj-323	14	38	of	of	ADP
cuesj-323	14	39	engineering	engineering	NOUN
cuesj-323	14	40	,	,	PUNCT
cuesj-323	14	41	environment	environment	NOUN
cuesj-323	14	42	and	and	CCONJ
cuesj-323	14	43	computing	computing	NOUN
cuesj-323	14	44	,	,	PUNCT
cuesj-323	14	45	coventry	coventry	NOUN
cuesj-323	14	46	university	university	PROPN
cuesj-323	14	47	,	,	PUNCT
cuesj-323	14	48	coventry	coventry	NOUN
cuesj-323	14	49	,	,	PUNCT
cuesj-323	14	50	united	united	ADJ
cuesj-323	14	51	kingdom	kingdom	NOUN
cuesj-323	14	52	.	.	PUNCT
cuesj-323	15	1	e	e	X
cuesj-323	15	2	-	-	NOUN
cuesj-323	15	3	mail	mail	NOUN
cuesj-323	15	4	:	:	PUNCT
cuesj-323	15	5	aa8535@coventry.ac.uk	aa8535@coventry.ac.uk	PROPN
cuesj-323	15	6	received	receive	VERB
cuesj-323	15	7	:	:	PUNCT
cuesj-323	15	8	feb	feb	PROPN
cuesj-323	15	9	26	26	NUM
cuesj-323	15	10	,	,	PUNCT
cuesj-323	15	11	2021	2021	NUM
cuesj-323	15	12	accepted	accept	VERB
cuesj-323	15	13	:	:	PUNCT
cuesj-323	15	14	may	may	AUX
cuesj-323	15	15	07	07	NUM
cuesj-323	15	16	,	,	PUNCT
cuesj-323	15	17	2021	2021	NUM
cuesj-323	15	18	published	publish	VERB
cuesj-323	15	19	:	:	PUNCT
cuesj-323	16	1	may	may	AUX
cuesj-323	16	2	20	20	NUM
cuesj-323	16	3	,	,	PUNCT
cuesj-323	16	4	2021	2021	NUM
cuesj-323	16	5	doi	doi	NOUN
cuesj-323	16	6	:	:	PUNCT
cuesj-323	16	7	10.24086	10.24086	NUM
cuesj-323	16	8	/	/	SYM
cuesj-323	16	9	cuesj.v5n1y2021.1	cuesj.v5n1y2021.1	NOUN
cuesj-323	16	10	-	-	PUNCT
cuesj-323	16	11	10	10	NUM
cuesj-323	16	12	copyright	copyright	NOUN
cuesj-323	16	13	©	©	PROPN
cuesj-323	16	14	2021	2021	NUM
cuesj-323	16	15	ammar	ammar	PROPN
cuesj-323	16	16	f.	f.	PROPN
cuesj-323	16	17	al	al	PROPN
cuesj-323	16	18	-	-	PUNCT
cuesj-323	16	19	bazi	bazi	PROPN
cuesj-323	16	20	,	,	PUNCT
cuesj-323	16	21	anees	anees	PROPN
cuesj-323	16	22	m.	m.	PROPN
cuesj-323	16	23	abu	abu	PROPN
cuesj-323	16	24	-	-	PUNCT
cuesj-323	16	25	monshar	monshar	PROPN
cuesj-323	16	26	,	,	PUNCT
cuesj-323	16	27	qusay	qusay	PROPN
cuesj-323	16	28	h.	h.	PROPN
cuesj-323	16	29	al	al	PROPN
cuesj-323	16	30	-	-	PUNCT
cuesj-323	16	31	salami	salami	NOUN
cuesj-323	16	32	.	.	PUNCT
cuesj-323	17	1	this	this	PRON
cuesj-323	17	2	is	be	AUX
cuesj-323	17	3	an	an	DET
cuesj-323	17	4	open	open	ADJ
cuesj-323	17	5	-	-	PUNCT
cuesj-323	17	6	access	access	NOUN
cuesj-323	17	7	article	article	NOUN
cuesj-323	17	8	distributed	distribute	VERB
cuesj-323	17	9	under	under	ADP
cuesj-323	17	10	the	the	DET
cuesj-323	17	11	creative	creative	ADJ
cuesj-323	17	12	commons	common	NOUN
cuesj-323	17	13	attribution	attribution	NOUN
cuesj-323	17	14	license	license	NOUN
cuesj-323	17	15	(	(	PUNCT
cuesj-323	17	16	cc	cc	NOUN
cuesj-323	17	17	by	by	ADP
cuesj-323	17	18	-	-	PUNCT
cuesj-323	17	19	nc	nc	VERB
cuesj-323	17	20	-	-	PROPN
cuesj-323	17	21	nd	nd	PRON
cuesj-323	17	22	4.0	4.0	NUM
cuesj-323	17	23	)	)	PUNCT
cuesj-323	17	24	.	.	PUNCT
cuesj-323	18	1	cihan	cihan	VERB
cuesj-323	18	2	university	university	NOUN
cuesj-323	18	3	-	-	PUNCT
cuesj-323	18	4	erbil	erbil	PROPN
cuesj-323	18	5	scientific	scientific	ADJ
cuesj-323	18	6	journal	journal	NOUN
cuesj-323	18	7	(	(	PUNCT
cuesj-323	18	8	cuesj	cuesj	PROPN
cuesj-323	18	9	)	)	PUNCT
cuesj-323	18	10	cihan	cihan	VERB
cuesj-323	18	11	university	university	NOUN
cuesj-323	18	12	-	-	PUNCT
cuesj-323	18	13	erbil	erbil	PROPN
cuesj-323	18	14	scientific	scientific	ADJ
cuesj-323	18	15	journal	journal	NOUN
cuesj-323	18	16	(	(	PUNCT
cuesj-323	18	17	cuesj	cuesj	PROPN
cuesj-323	18	18	)	)	PUNCT
cuesj-323	18	19	abu	abu	NOUN
cuesj-323	18	20	-	-	PUNCT
cuesj-323	18	21	monshar	monshar	PROPN
cuesj-323	18	22	,	,	PUNCT
cuesj-323	18	23	et	et	PROPN
cuesj-323	18	24	al	al	PROPN
cuesj-323	18	25	.	.	PROPN
cuesj-323	18	26	:	:	PUNCT
cuesj-323	19	1	vehicle	vehicle	NOUN
cuesj-323	19	2	breakdown	breakdown	NOUN
cuesj-323	19	3	in	in	ADP
cuesj-323	19	4	dvrp	dvrp	ADJ
cuesj-323	19	5	2	2	NUM
cuesj-323	19	6	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	19	7	cuesj	cuesj	ADJ
cuesj-323	19	8	2021	2021	NUM
cuesj-323	19	9	,	,	PUNCT
cuesj-323	19	10	5	5	NUM
cuesj-323	19	11	(	(	PUNCT
cuesj-323	19	12	1	1	NUM
cuesj-323	19	13	):	):	PUNCT
cuesj-323	19	14	1	1	NUM
cuesj-323	19	15	-	-	SYM
cuesj-323	19	16	10	10	NUM
cuesj-323	19	17	drivers	driver	NOUN
cuesj-323	19	18	have	have	AUX
cuesj-323	19	19	problems.[10	problems.[10	VERB
cuesj-323	19	20	]	]	PUNCT
cuesj-323	19	21	the	the	DET
cuesj-323	19	22	main	main	ADJ
cuesj-323	19	23	contribution	contribution	NOUN
cuesj-323	19	24	of	of	ADP
cuesj-323	19	25	this	this	DET
cuesj-323	19	26	paper	paper	NOUN
cuesj-323	19	27	is	be	AUX
cuesj-323	19	28	to	to	PART
cuesj-323	19	29	introduce	introduce	VERB
cuesj-323	19	30	a	a	DET
cuesj-323	19	31	novel	novel	NOUN
cuesj-323	19	32	multilayered	multilayere	VERB
cuesj-323	19	33	agent	agent	NOUN
cuesj-323	19	34	-	-	PUNCT
cuesj-323	19	35	based	base	VERB
cuesj-323	19	36	heuristic	heuristic	ADJ
cuesj-323	19	37	system	system	NOUN
cuesj-323	19	38	for	for	ADP
cuesj-323	19	39	the	the	DET
cuesj-323	19	40	breakdown	breakdown	ADJ
cuesj-323	19	41	vrp	vrp	NOUN
cuesj-323	19	42	problem	problem	NOUN
cuesj-323	19	43	that	that	PRON
cuesj-323	19	44	solves	solve	VERB
cuesj-323	19	45	the	the	DET
cuesj-323	19	46	breakdown	breakdown	NOUN
cuesj-323	19	47	instant	instant	NOUN
cuesj-323	19	48	by	by	ADP
cuesj-323	19	49	first	first	ADJ
cuesj-323	19	50	clustering	cluster	VERB
cuesj-323	19	51	customers	customer	NOUN
cuesj-323	19	52	then	then	ADV
cuesj-323	19	53	generating	generate	VERB
cuesj-323	19	54	vehicle	vehicle	NOUN
cuesj-323	19	55	routes	route	NOUN
cuesj-323	19	56	.	.	PUNCT
cuesj-323	20	1	the	the	DET
cuesj-323	20	2	rest	rest	NOUN
cuesj-323	20	3	of	of	ADP
cuesj-323	20	4	the	the	DET
cuesj-323	20	5	paper	paper	NOUN
cuesj-323	20	6	is	be	AUX
cuesj-323	20	7	organized	organize	VERB
cuesj-323	20	8	as	as	SCONJ
cuesj-323	20	9	follows	follow	VERB
cuesj-323	20	10	:	:	PUNCT
cuesj-323	20	11	section	section	PROPN
cuesj-323	20	12	ii	ii	PROPN
cuesj-323	20	13	states	state	VERB
cuesj-323	20	14	the	the	DET
cuesj-323	20	15	problem	problem	NOUN
cuesj-323	20	16	under	under	ADP
cuesj-323	20	17	study	study	NOUN
cuesj-323	20	18	.	.	PUNCT
cuesj-323	21	1	section	section	NOUN
cuesj-323	21	2	iii	iii	PROPN
cuesj-323	21	3	provides	provide	VERB
cuesj-323	21	4	a	a	DET
cuesj-323	21	5	selection	selection	NOUN
cuesj-323	21	6	of	of	ADP
cuesj-323	21	7	literature	literature	NOUN
cuesj-323	21	8	papers	paper	NOUN
cuesj-323	21	9	relevant	relevant	ADJ
cuesj-323	21	10	to	to	ADP
cuesj-323	21	11	this	this	DET
cuesj-323	21	12	work	work	NOUN
cuesj-323	21	13	in	in	ADP
cuesj-323	21	14	the	the	DET
cuesj-323	21	15	area	area	NOUN
cuesj-323	21	16	of	of	ADP
cuesj-323	21	17	dvrp	dvrp	PROPN
cuesj-323	21	18	.	.	PUNCT
cuesj-323	22	1	section	section	NOUN
cuesj-323	22	2	iv	iv	NUM
cuesj-323	22	3	justifies	justify	VERB
cuesj-323	22	4	using	use	VERB
cuesj-323	22	5	the	the	DET
cuesj-323	22	6	abm	abm	PROPN
cuesj-323	22	7	approach	approach	NOUN
cuesj-323	22	8	in	in	ADP
cuesj-323	22	9	dvrp	dvrp	NOUN
cuesj-323	22	10	and	and	CCONJ
cuesj-323	22	11	presents	present	VERB
cuesj-323	22	12	related	related	ADJ
cuesj-323	22	13	work	work	NOUN
cuesj-323	22	14	.	.	PUNCT
cuesj-323	23	1	section	section	NOUN
cuesj-323	23	2	v	v	PROPN
cuesj-323	23	3	presents	present	VERB
cuesj-323	23	4	the	the	DET
cuesj-323	23	5	two	two	NUM
cuesj-323	23	6	-	-	PUNCT
cuesj-323	23	7	layered	layer	VERB
cuesj-323	23	8	abm	abm	PROPN
cuesj-323	23	9	approach	approach	NOUN
cuesj-323	23	10	,	,	PUNCT
cuesj-323	23	11	and	and	CCONJ
cuesj-323	23	12	the	the	DET
cuesj-323	23	13	modeling	modeling	NOUN
cuesj-323	23	14	framework	framework	NOUN
cuesj-323	23	15	specifically	specifically	ADV
cuesj-323	23	16	adapted	adapt	VERB
cuesj-323	23	17	to	to	ADP
cuesj-323	23	18	the	the	DET
cuesj-323	23	19	dynamic	dynamic	ADJ
cuesj-323	23	20	vehicle	vehicle	NOUN
cuesj-323	23	21	breakdowns	breakdown	NOUN
cuesj-323	23	22	in	in	ADP
cuesj-323	23	23	the	the	DET
cuesj-323	23	24	routing	routing	NOUN
cuesj-323	23	25	problem	problem	NOUN
cuesj-323	23	26	.	.	PUNCT
cuesj-323	24	1	section	section	NOUN
cuesj-323	24	2	vi	vi	PROPN
cuesj-323	24	3	provides	provide	VERB
cuesj-323	24	4	preliminary	preliminary	ADJ
cuesj-323	24	5	results	result	NOUN
cuesj-323	24	6	for	for	ADP
cuesj-323	24	7	the	the	DET
cuesj-323	24	8	partially	partially	ADV
cuesj-323	24	9	developed	develop	VERB
cuesj-323	24	10	abm	abm	PROPN
cuesj-323	24	11	model	model	NOUN
cuesj-323	24	12	under	under	ADP
cuesj-323	24	13	two	two	NUM
cuesj-323	24	14	problem	problem	NOUN
cuesj-323	24	15	scenarios	scenario	NOUN
cuesj-323	24	16	.	.	PUNCT
cuesj-323	25	1	finally	finally	ADV
cuesj-323	25	2	,	,	PUNCT
cuesj-323	25	3	section	section	NOUN
cuesj-323	25	4	vii	vii	PROPN
cuesj-323	25	5	draws	draw	VERB
cuesj-323	25	6	the	the	DET
cuesj-323	25	7	conclusion	conclusion	NOUN
cuesj-323	25	8	and	and	CCONJ
cuesj-323	25	9	future	future	ADJ
cuesj-323	25	10	research	research	NOUN
cuesj-323	25	11	recommendation	recommendation	NOUN
cuesj-323	25	12	.	.	PUNCT
cuesj-323	26	1	problem	problem	NOUN
cuesj-323	26	2	statement	statement	NOUN
cuesj-323	26	3	in	in	ADP
cuesj-323	26	4	a	a	DET
cuesj-323	26	5	classical	classical	ADJ
cuesj-323	26	6	vrp	vrp	NOUN
cuesj-323	26	7	with	with	ADP
cuesj-323	26	8	both	both	DET
cuesj-323	26	9	delivery	delivery	NOUN
cuesj-323	26	10	and	and	CCONJ
cuesj-323	26	11	parcel	parcel	NOUN
cuesj-323	26	12	collections	collection	NOUN
cuesj-323	26	13	,	,	PUNCT
cuesj-323	26	14	vehicles	vehicle	NOUN
cuesj-323	26	15	are	be	AUX
cuesj-323	26	16	routed	route	VERB
cuesj-323	26	17	to	to	ADP
cuesj-323	26	18	specific	specific	ADJ
cuesj-323	26	19	customer	customer	NOUN
cuesj-323	26	20	locations	location	NOUN
cuesj-323	26	21	starting	start	VERB
cuesj-323	26	22	and	and	CCONJ
cuesj-323	26	23	ending	end	VERB
cuesj-323	26	24	at	at	ADP
cuesj-323	26	25	their	their	PRON
cuesj-323	26	26	representative	representative	ADJ
cuesj-323	26	27	depots	depot	NOUN
cuesj-323	26	28	.	.	PUNCT
cuesj-323	27	1	however	however	ADV
cuesj-323	27	2	,	,	PUNCT
cuesj-323	27	3	one	one	NUM
cuesj-323	27	4	vehicle	vehicle	NOUN
cuesj-323	27	5	or	or	CCONJ
cuesj-323	27	6	more	more	ADJ
cuesj-323	27	7	of	of	ADP
cuesj-323	27	8	the	the	DET
cuesj-323	27	9	operating	operate	VERB
cuesj-323	27	10	fleet	fleet	NOUN
cuesj-323	27	11	might	might	AUX
cuesj-323	27	12	face	face	VERB
cuesj-323	27	13	random	random	ADJ
cuesj-323	27	14	disruptions	disruption	NOUN
cuesj-323	27	15	at	at	ADP
cuesj-323	27	16	any	any	DET
cuesj-323	27	17	time	time	NOUN
cuesj-323	27	18	and	and	CCONJ
cuesj-323	27	19	location	location	NOUN
cuesj-323	27	20	while	while	SCONJ
cuesj-323	27	21	in	in	ADP
cuesj-323	27	22	service	service	NOUN
cuesj-323	27	23	.	.	PUNCT
cuesj-323	28	1	as	as	ADP
cuesj-323	28	2	a	a	DET
cuesj-323	28	3	result	result	NOUN
cuesj-323	28	4	,	,	PUNCT
cuesj-323	28	5	an	an	DET
cuesj-323	28	6	issue	issue	NOUN
cuesj-323	28	7	would	would	AUX
cuesj-323	28	8	arise	arise	VERB
cuesj-323	28	9	of	of	ADP
cuesj-323	28	10	sharing	share	VERB
cuesj-323	28	11	the	the	DET
cuesj-323	28	12	disrupted	disrupt	VERB
cuesj-323	28	13	vehicle	vehicle	NOUN
cuesj-323	28	14	workload	workload	NOUN
cuesj-323	28	15	with	with	ADP
cuesj-323	28	16	the	the	DET
cuesj-323	28	17	remaining	remain	VERB
cuesj-323	28	18	in	in	ADP
cuesj-323	28	19	-	-	PUNCT
cuesj-323	28	20	service	service	NOUN
cuesj-323	28	21	vehicles	vehicle	NOUN
cuesj-323	28	22	.	.	PUNCT
cuesj-323	29	1	this	this	DET
cuesj-323	29	2	workload	workload	NOUN
cuesj-323	29	3	is	be	AUX
cuesj-323	29	4	represented	represent	VERB
cuesj-323	29	5	by	by	ADP
cuesj-323	29	6	parcels	parcel	NOUN
cuesj-323	29	7	initially	initially	ADV
cuesj-323	29	8	supposed	suppose	VERB
cuesj-323	29	9	to	to	PART
cuesj-323	29	10	be	be	AUX
cuesj-323	29	11	delivered	deliver	VERB
cuesj-323	29	12	to	to	PART
cuesj-323	29	13	/	/	SYM
cuesj-323	29	14	collected	collect	VERB
cuesj-323	29	15	from	from	ADP
cuesj-323	29	16	customers	customer	NOUN
cuesj-323	29	17	by	by	ADP
cuesj-323	29	18	the	the	DET
cuesj-323	29	19	disrupted	disrupt	VERB
cuesj-323	29	20	vehicle	vehicle	NOUN
cuesj-323	29	21	.	.	PUNCT
cuesj-323	30	1	figure	figure	VERB
cuesj-323	30	2	1	1	NUM
cuesj-323	30	3	presents	present	NOUN
cuesj-323	30	4	this	this	DET
cuesj-323	30	5	type	type	NOUN
cuesj-323	30	6	of	of	ADP
cuesj-323	30	7	vehicle	vehicle	NOUN
cuesj-323	30	8	disruption	disruption	NOUN
cuesj-323	30	9	problem	problem	NOUN
cuesj-323	30	10	.	.	PUNCT
cuesj-323	31	1	figure	figure	NOUN
cuesj-323	31	2	1	1	NUM
cuesj-323	31	3	shows	show	VERB
cuesj-323	31	4	a	a	DET
cuesj-323	31	5	set	set	NOUN
cuesj-323	31	6	of	of	ADP
cuesj-323	31	7	in	in	ADP
cuesj-323	31	8	-	-	PUNCT
cuesj-323	31	9	service	service	NOUN
cuesj-323	31	10	vehicles	vehicle	NOUN
cuesj-323	31	11	scheduled	schedule	VERB
cuesj-323	31	12	routes	route	NOUN
cuesj-323	31	13	,	,	PUNCT
cuesj-323	31	14	represented	represent	VERB
cuesj-323	31	15	by	by	ADP
cuesj-323	31	16	the	the	DET
cuesj-323	31	17	solid	solid	ADJ
cuesj-323	31	18	arrows	arrow	NOUN
cuesj-323	31	19	.	.	PUNCT
cuesj-323	32	1	these	these	DET
cuesj-323	32	2	scheduled	schedule	VERB
cuesj-323	32	3	routes	route	NOUN
cuesj-323	32	4	have	have	AUX
cuesj-323	32	5	been	be	AUX
cuesj-323	32	6	determined	determine	VERB
cuesj-323	32	7	by	by	ADP
cuesj-323	32	8	considering	consider	VERB
cuesj-323	32	9	vehicle	vehicle	NOUN
cuesj-323	32	10	capacity	capacity	NOUN
cuesj-323	32	11	constraint	constraint	NOUN
cuesj-323	32	12	,	,	PUNCT
cuesj-323	32	13	customer	customer	NOUN
cuesj-323	32	14	time	time	NOUN
cuesj-323	32	15	window	window	NOUN
cuesj-323	32	16	availability	availability	NOUN
cuesj-323	32	17	,	,	PUNCT
cuesj-323	32	18	demand	demand	VERB
cuesj-323	32	19	quantity	quantity	NOUN
cuesj-323	32	20	of	of	ADP
cuesj-323	32	21	either	either	DET
cuesj-323	32	22	delivery	delivery	NOUN
cuesj-323	32	23	or	or	CCONJ
cuesj-323	32	24	collection	collection	NOUN
cuesj-323	32	25	,	,	PUNCT
cuesj-323	32	26	and	and	CCONJ
cuesj-323	32	27	the	the	DET
cuesj-323	32	28	required	require	VERB
cuesj-323	32	29	servicing	servicing	NOUN
cuesj-323	32	30	time	time	NOUN
cuesj-323	32	31	.	.	PUNCT
cuesj-323	33	1	in	in	ADP
cuesj-323	33	2	terms	term	NOUN
cuesj-323	33	3	of	of	ADP
cuesj-323	33	4	distance	distance	NOUN
cuesj-323	33	5	and	and	CCONJ
cuesj-323	33	6	time	time	NOUN
cuesj-323	33	7	,	,	PUNCT
cuesj-323	33	8	these	these	DET
cuesj-323	33	9	original	original	ADJ
cuesj-323	33	10	routes	route	NOUN
cuesj-323	33	11	’	'	PUNCT
cuesj-323	33	12	costs	cost	NOUN
cuesj-323	33	13	depend	depend	VERB
cuesj-323	33	14	on	on	ADP
cuesj-323	33	15	the	the	DET
cuesj-323	33	16	sequence	sequence	NOUN
cuesj-323	33	17	of	of	ADP
cuesj-323	33	18	customers	customer	NOUN
cuesj-323	33	19	in	in	ADP
cuesj-323	33	20	the	the	DET
cuesj-323	33	21	routes	route	NOUN
cuesj-323	33	22	.	.	PUNCT
cuesj-323	34	1	however	however	ADV
cuesj-323	34	2	,	,	PUNCT
cuesj-323	34	3	a	a	DET
cuesj-323	34	4	major	major	ADJ
cuesj-323	34	5	vehicle	vehicle	NOUN
cuesj-323	34	6	breakdown	breakdown	NOUN
cuesj-323	34	7	might	might	AUX
cuesj-323	34	8	occur	occur	VERB
cuesj-323	34	9	randomly	randomly	ADV
cuesj-323	34	10	during	during	ADP
cuesj-323	34	11	the	the	DET
cuesj-323	34	12	scheduled	schedule	VERB
cuesj-323	34	13	routes	route	NOUN
cuesj-323	34	14	and	and	CCONJ
cuesj-323	34	15	result	result	VERB
cuesj-323	34	16	in	in	ADP
cuesj-323	34	17	some	some	DET
cuesj-323	34	18	unserved	unserved	ADJ
cuesj-323	34	19	customers	customer	NOUN
cuesj-323	34	20	.	.	PUNCT
cuesj-323	35	1	to	to	PART
cuesj-323	35	2	mitigate	mitigate	VERB
cuesj-323	35	3	the	the	DET
cuesj-323	35	4	problem	problem	NOUN
cuesj-323	35	5	,	,	PUNCT
cuesj-323	35	6	the	the	DET
cuesj-323	35	7	other	other	ADJ
cuesj-323	35	8	in	in	ADP
cuesj-323	35	9	-	-	PUNCT
cuesj-323	35	10	service	service	NOUN
cuesj-323	35	11	vehicles	vehicle	NOUN
cuesj-323	35	12	’	'	PUNCT
cuesj-323	35	13	routes	route	NOUN
cuesj-323	35	14	could	could	AUX
cuesj-323	35	15	be	be	AUX
cuesj-323	35	16	rescheduled	reschedule	VERB
cuesj-323	35	17	to	to	PART
cuesj-323	35	18	visit	visit	VERB
cuesj-323	35	19	the	the	DET
cuesj-323	35	20	location	location	NOUN
cuesj-323	35	21	of	of	ADP
cuesj-323	35	22	the	the	DET
cuesj-323	35	23	disrupted	disrupt	VERB
cuesj-323	35	24	vehicle	vehicle	NOUN
cuesj-323	35	25	that	that	PRON
cuesj-323	35	26	is	be	AUX
cuesj-323	35	27	considered	consider	VERB
cuesj-323	35	28	here	here	ADV
cuesj-323	35	29	as	as	ADP
cuesj-323	35	30	a	a	DET
cuesj-323	35	31	collection	collection	NOUN
cuesj-323	35	32	point	point	NOUN
cuesj-323	35	33	to	to	PART
cuesj-323	35	34	collect	collect	VERB
cuesj-323	35	35	only	only	ADV
cuesj-323	35	36	the	the	DET
cuesj-323	35	37	delivery	delivery	NOUN
cuesj-323	35	38	load	load	NOUN
cuesj-323	35	39	and	and	CCONJ
cuesj-323	35	40	consider	consider	VERB
cuesj-323	35	41	the	the	DET
cuesj-323	35	42	new	new	ADJ
cuesj-323	35	43	reschedule	reschedule	NOUN
cuesj-323	35	44	route	route	NOUN
cuesj-323	35	45	aiming	aim	VERB
cuesj-323	35	46	to	to	PART
cuesj-323	35	47	minimize	minimize	VERB
cuesj-323	35	48	these	these	DET
cuesj-323	35	49	unserved	unserved	ADJ
cuesj-323	35	50	customers	customer	NOUN
cuesj-323	35	51	.	.	PUNCT
cuesj-323	36	1	the	the	DET
cuesj-323	36	2	dotted	dotted	ADJ
cuesj-323	36	3	arrows	arrow	NOUN
cuesj-323	36	4	indicate	indicate	VERB
cuesj-323	36	5	the	the	DET
cuesj-323	36	6	rescheduled	reschedule	VERB
cuesj-323	36	7	route	route	NOUN
cuesj-323	36	8	by	by	ADP
cuesj-323	36	9	considering	consider	VERB
cuesj-323	36	10	the	the	DET
cuesj-323	36	11	visit	visit	NOUN
cuesj-323	36	12	to	to	ADP
cuesj-323	36	13	the	the	DET
cuesj-323	36	14	disrupted	disrupt	VERB
cuesj-323	36	15	vehicle	vehicle	NOUN
cuesj-323	36	16	,	,	PUNCT
cuesj-323	36	17	taking	take	VERB
cuesj-323	36	18	its	its	PRON
cuesj-323	36	19	workload	workload	NOUN
cuesj-323	36	20	,	,	PUNCT
cuesj-323	36	21	fully	fully	ADV
cuesj-323	36	22	or	or	CCONJ
cuesj-323	36	23	partially	partially	ADV
cuesj-323	36	24	,	,	PUNCT
cuesj-323	36	25	as	as	ADV
cuesj-323	36	26	well	well	ADV
cuesj-323	36	27	as	as	ADP
cuesj-323	36	28	serving	serve	VERB
cuesj-323	36	29	its	its	PRON
cuesj-323	36	30	remaining	remain	VERB
cuesj-323	36	31	customers	customer	NOUN
cuesj-323	36	32	.	.	PUNCT
cuesj-323	37	1	considering	consider	VERB
cuesj-323	37	2	a	a	DET
cuesj-323	37	3	case	case	NOUN
cuesj-323	37	4	with	with	ADP
cuesj-323	37	5	more	more	ADJ
cuesj-323	37	6	than	than	ADP
cuesj-323	37	7	2	2	NUM
cuesj-323	37	8	vehicles	vehicle	NOUN
cuesj-323	37	9	complicates	complicate	VERB
cuesj-323	37	10	the	the	DET
cuesj-323	37	11	problem	problem	NOUN
cuesj-323	37	12	even	even	ADV
cuesj-323	37	13	more	more	ADV
cuesj-323	37	14	,	,	PUNCT
cuesj-323	37	15	especially	especially	ADV
cuesj-323	37	16	when	when	SCONJ
cuesj-323	37	17	this	this	DET
cuesj-323	37	18	unpredicted	unpredicted	ADJ
cuesj-323	37	19	disruption	disruption	NOUN
cuesj-323	37	20	of	of	ADP
cuesj-323	37	21	more	more	ADJ
cuesj-323	37	22	than	than	ADP
cuesj-323	37	23	1	1	NUM
cuesj-323	37	24	vehicle	vehicle	NOUN
cuesj-323	37	25	happens	happen	VERB
cuesj-323	37	26	continuously	continuously	ADV
cuesj-323	37	27	overtime	overtime	NOUN
cuesj-323	37	28	,	,	PUNCT
cuesj-323	37	29	deciding	decide	VERB
cuesj-323	37	30	which	which	PRON
cuesj-323	37	31	and	and	CCONJ
cuesj-323	37	32	how	how	SCONJ
cuesj-323	37	33	many	many	ADJ
cuesj-323	37	34	of	of	ADP
cuesj-323	37	35	the	the	DET
cuesj-323	37	36	operating	operating	NOUN
cuesj-323	37	37	vehicles	vehicle	NOUN
cuesj-323	37	38	to	to	PART
cuesj-323	37	39	perform	perform	VERB
cuesj-323	37	40	the	the	DET
cuesj-323	37	41	visit	visit	NOUN
cuesj-323	37	42	to	to	ADP
cuesj-323	37	43	the	the	DET
cuesj-323	37	44	disrupted	disrupted	ADJ
cuesj-323	37	45	vehicle(s	vehicle(s	NOUN
cuesj-323	37	46	)	)	PUNCT
cuesj-323	37	47	as	as	ADV
cuesj-323	37	48	well	well	ADV
cuesj-323	37	49	as	as	ADP
cuesj-323	37	50	how	how	SCONJ
cuesj-323	37	51	many	many	ADJ
cuesj-323	37	52	of	of	ADP
cuesj-323	37	53	the	the	DET
cuesj-323	37	54	load	load	NOUN
cuesj-323	37	55	to	to	ADP
cuesj-323	37	56	burden	burden	NOUN
cuesj-323	37	57	given	give	VERB
cuesj-323	37	58	the	the	DET
cuesj-323	37	59	original	original	ADJ
cuesj-323	37	60	problem	problem	NOUN
cuesj-323	37	61	constraints	constraint	NOUN
cuesj-323	37	62	.	.	PUNCT
cuesj-323	38	1	further	further	ADJ
cuesj-323	38	2	complications	complication	NOUN
cuesj-323	38	3	will	will	AUX
cuesj-323	38	4	arise	arise	VERB
cuesj-323	38	5	if	if	SCONJ
cuesj-323	38	6	the	the	DET
cuesj-323	38	7	breakdown	breakdown	ADJ
cuesj-323	38	8	event	event	NOUN
cuesj-323	38	9	occurs	occur	VERB
cuesj-323	38	10	again	again	ADV
cuesj-323	38	11	after	after	ADP
cuesj-323	38	12	producing	produce	VERB
cuesj-323	38	13	the	the	DET
cuesj-323	38	14	new	new	ADJ
cuesj-323	38	15	rearranged	rearrange	VERB
cuesj-323	38	16	routes	route	NOUN
cuesj-323	38	17	.	.	PUNCT
cuesj-323	39	1	previous	previous	ADJ
cuesj-323	39	2	work	work	NOUN
cuesj-323	39	3	on	on	ADP
cuesj-323	39	4	dvrp	dvrp	NOUN
cuesj-323	39	5	since	since	SCONJ
cuesj-323	39	6	the	the	DET
cuesj-323	39	7	evolvement	evolvement	NOUN
cuesj-323	39	8	of	of	ADP
cuesj-323	39	9	dvrp	dvrp	NOUN
cuesj-323	39	10	from	from	ADP
cuesj-323	39	11	the	the	DET
cuesj-323	39	12	static	static	ADJ
cuesj-323	39	13	and	and	CCONJ
cuesj-323	39	14	traditional	traditional	ADJ
cuesj-323	39	15	problem	problem	NOUN
cuesj-323	39	16	,	,	PUNCT
cuesj-323	39	17	it	it	PRON
cuesj-323	39	18	has	have	AUX
cuesj-323	39	19	focused	focus	VERB
cuesj-323	39	20	mainly	mainly	ADV
cuesj-323	39	21	on	on	ADP
cuesj-323	39	22	the	the	DET
cuesj-323	39	23	source	source	NOUN
cuesj-323	39	24	of	of	ADP
cuesj-323	39	25	dynamism	dynamism	NOUN
cuesj-323	39	26	from	from	ADP
cuesj-323	39	27	the	the	DET
cuesj-323	39	28	customer	customer	NOUN
cuesj-323	39	29	’s	’s	PART
cuesj-323	39	30	side	side	NOUN
cuesj-323	39	31	,	,	PUNCT
cuesj-323	39	32	meaning	mean	VERB
cuesj-323	39	33	orders	order	NOUN
cuesj-323	39	34	that	that	PRON
cuesj-323	39	35	are	be	AUX
cuesj-323	39	36	revealed	reveal	VERB
cuesj-323	39	37	dynamically	dynamically	ADV
cuesj-323	39	38	and	and	CCONJ
cuesj-323	39	39	require	require	VERB
cuesj-323	39	40	immediate	immediate	ADJ
cuesj-323	39	41	replanning	replanning	NOUN
cuesj-323	39	42	.	.	PUNCT
cuesj-323	40	1	an	an	DET
cuesj-323	40	2	example	example	NOUN
cuesj-323	40	3	of	of	ADP
cuesj-323	40	4	such	such	DET
cuesj-323	40	5	a	a	DET
cuesj-323	40	6	problem	problem	NOUN
cuesj-323	40	7	can	can	AUX
cuesj-323	40	8	be	be	AUX
cuesj-323	40	9	seen	see	VERB
cuesj-323	40	10	in	in	ADP
cuesj-323	40	11	gendreau	gendreau	PROPN
cuesj-323	40	12	et	et	PROPN
cuesj-323	40	13	al	al	PROPN
cuesj-323	40	14	.	.	PROPN
cuesj-323	40	15	,[11	,[11	PROPN
cuesj-323	40	16	]	]	PUNCT
cuesj-323	40	17	where	where	SCONJ
cuesj-323	40	18	they	they	PRON
cuesj-323	40	19	adopted	adopt	VERB
cuesj-323	40	20	an	an	DET
cuesj-323	40	21	insertion	insertion	NOUN
cuesj-323	40	22	heuristic	heuristic	ADJ
cuesj-323	40	23	to	to	PART
cuesj-323	40	24	accommodate	accommodate	VERB
cuesj-323	40	25	newly	newly	ADV
cuesj-323	40	26	revealed	reveal	VERB
cuesj-323	40	27	customers	customer	NOUN
cuesj-323	40	28	,	,	PUNCT
cuesj-323	40	29	and	and	CCONJ
cuesj-323	40	30	ts	ts	ADV
cuesj-323	40	31	would	would	AUX
cuesj-323	40	32	improve	improve	VERB
cuesj-323	40	33	the	the	DET
cuesj-323	40	34	overall	overall	ADJ
cuesj-323	40	35	solution	solution	NOUN
cuesj-323	40	36	.	.	PUNCT
cuesj-323	41	1	a	a	DET
cuesj-323	41	2	good	good	ADJ
cuesj-323	41	3	review	review	NOUN
cuesj-323	41	4	of	of	ADP
cuesj-323	41	5	dynamic	dynamic	ADJ
cuesj-323	41	6	order	order	NOUN
cuesj-323	41	7	vrp	vrp	NOUN
cuesj-323	41	8	has	have	AUX
cuesj-323	41	9	been	be	AUX
cuesj-323	41	10	provided	provide	VERB
cuesj-323	41	11	by	by	ADP
cuesj-323	41	12	pillac	pillac	PROPN
cuesj-323	41	13	et	et	PROPN
cuesj-323	41	14	al.[9	al.[9	PROPN
cuesj-323	41	15	]	]	PUNCT
cuesj-323	41	16	and	and	CCONJ
cuesj-323	41	17	their	their	PRON
cuesj-323	41	18	adopted	adopt	VERB
cuesj-323	41	19	solution	solution	NOUN
cuesj-323	41	20	strategies	strategy	NOUN
cuesj-323	41	21	.	.	PUNCT
cuesj-323	42	1	this	this	DET
cuesj-323	42	2	section	section	NOUN
cuesj-323	42	3	,	,	PUNCT
cuesj-323	42	4	however	however	ADV
cuesj-323	42	5	,	,	PUNCT
cuesj-323	42	6	will	will	AUX
cuesj-323	42	7	provide	provide	VERB
cuesj-323	42	8	studies	study	NOUN
cuesj-323	42	9	of	of	ADP
cuesj-323	42	10	vrps	vrps	NOUN
cuesj-323	42	11	or	or	CCONJ
cuesj-323	42	12	similar	similar	ADJ
cuesj-323	42	13	that	that	PRON
cuesj-323	42	14	encountered	encounter	VERB
cuesj-323	42	15	vehicle	vehicle	NOUN
cuesj-323	42	16	disruptions	disruption	NOUN
cuesj-323	42	17	.	.	PUNCT
cuesj-323	43	1	a	a	DET
cuesj-323	43	2	few	few	ADJ
cuesj-323	43	3	studies	study	NOUN
cuesj-323	43	4	have	have	AUX
cuesj-323	43	5	been	be	AUX
cuesj-323	43	6	conducted	conduct	VERB
cuesj-323	43	7	on	on	ADP
cuesj-323	43	8	vrp	vrp	PROPN
cuesj-323	43	9	under	under	ADP
cuesj-323	43	10	breakdown	breakdown	NOUN
cuesj-323	43	11	;	;	PUNCT
cuesj-323	43	12	however	however	ADV
cuesj-323	43	13	,	,	PUNCT
cuesj-323	43	14	they	they	PRON
cuesj-323	43	15	are	be	AUX
cuesj-323	43	16	still	still	ADV
cuesj-323	43	17	limited	limit	VERB
cuesj-323	43	18	in	in	ADP
cuesj-323	43	19	terms	term	NOUN
cuesj-323	43	20	of	of	ADP
cuesj-323	43	21	how	how	SCONJ
cuesj-323	43	22	these	these	DET
cuesj-323	43	23	disruption	disruption	NOUN
cuesj-323	43	24	events	event	NOUN
cuesj-323	43	25	are	be	AUX
cuesj-323	43	26	introduced	introduce	VERB
cuesj-323	43	27	and	and	CCONJ
cuesj-323	43	28	modeled	model	VERB
cuesj-323	43	29	.	.	PUNCT
cuesj-323	44	1	vehicle	vehicle	NOUN
cuesj-323	44	2	breakdown	breakdown	NOUN
cuesj-323	44	3	was	be	AUX
cuesj-323	44	4	first	first	ADV
cuesj-323	44	5	seen	see	VERB
cuesj-323	44	6	in	in	ADP
cuesj-323	44	7	a	a	DET
cuesj-323	44	8	scheduling	scheduling	NOUN
cuesj-323	44	9	context	context	NOUN
cuesj-323	44	10	in	in	ADP
cuesj-323	44	11	studies	study	NOUN
cuesj-323	44	12	done	do	VERB
cuesj-323	44	13	by	by	ADP
cuesj-323	44	14	li	li	PROPN
cuesj-323	44	15	et	et	PROPN
cuesj-323	44	16	al.[12	al.[12	PROPN
cuesj-323	44	17	]	]	PUNCT
cuesj-323	44	18	and	and	CCONJ
cuesj-323	44	19	mirchandani	mirchandani	NOUN
cuesj-323	44	20	and	and	CCONJ
cuesj-323	44	21	borenstein[13	borenstein[13	NOUN
cuesj-323	44	22	]	]	PUNCT
cuesj-323	44	23	as	as	ADP
cuesj-323	44	24	vehicle	vehicle	NOUN
cuesj-323	44	25	rescheduling	rescheduling	NOUN
cuesj-323	44	26	problem	problem	NOUN
cuesj-323	44	27	(	(	PUNCT
cuesj-323	44	28	vrsp	vrsp	PROPN
cuesj-323	44	29	)	)	PUNCT
cuesj-323	44	30	.	.	PUNCT
cuesj-323	45	1	they	they	PRON
cuesj-323	45	2	considered	consider	VERB
cuesj-323	45	3	that	that	SCONJ
cuesj-323	45	4	the	the	DET
cuesj-323	45	5	disrupted	disrupt	VERB
cuesj-323	45	6	vehicle	vehicle	NOUN
cuesj-323	45	7	has	have	VERB
cuesj-323	45	8	to	to	PART
cuesj-323	45	9	be	be	AUX
cuesj-323	45	10	visited	visit	VERB
cuesj-323	45	11	by	by	ADP
cuesj-323	45	12	another	another	DET
cuesj-323	45	13	vehicle	vehicle	NOUN
cuesj-323	45	14	to	to	PART
cuesj-323	45	15	collect	collect	VERB
cuesj-323	45	16	its	its	PRON
cuesj-323	45	17	load	load	NOUN
cuesj-323	45	18	.	.	PUNCT
cuesj-323	46	1	they	they	PRON
cuesj-323	46	2	proposed	propose	VERB
cuesj-323	46	3	a	a	DET
cuesj-323	46	4	decision	decision	NOUN
cuesj-323	46	5	support	support	NOUN
cuesj-323	46	6	system	system	NOUN
cuesj-323	46	7	(	(	PUNCT
cuesj-323	46	8	dss	dss	NOUN
cuesj-323	46	9	)	)	PUNCT
cuesj-323	46	10	for	for	ADP
cuesj-323	46	11	human	human	ADJ
cuesj-323	46	12	schedulers	scheduler	NOUN
cuesj-323	46	13	to	to	PART
cuesj-323	46	14	follow	follow	VERB
cuesj-323	46	15	when	when	SCONJ
cuesj-323	46	16	a	a	DET
cuesj-323	46	17	disruption	disruption	NOUN
cuesj-323	46	18	occurs	occur	VERB
cuesj-323	46	19	.	.	PUNCT
cuesj-323	47	1	the	the	DET
cuesj-323	47	2	dss	dss	NOUN
cuesj-323	47	3	generates	generate	VERB
cuesj-323	47	4	possible	possible	ADJ
cuesj-323	47	5	feasible	feasible	ADJ
cuesj-323	47	6	networks	network	NOUN
cuesj-323	47	7	then	then	ADV
cuesj-323	47	8	selects	select	VERB
cuesj-323	47	9	the	the	DET
cuesj-323	47	10	most	most	ADV
cuesj-323	47	11	suitable	suitable	ADJ
cuesj-323	47	12	ones	one	NOUN
cuesj-323	47	13	,	,	PUNCT
cuesj-323	47	14	in	in	ADP
cuesj-323	47	15	terms	term	NOUN
cuesj-323	47	16	of	of	ADP
cuesj-323	47	17	delay	delay	NOUN
cuesj-323	47	18	minimization	minimization	NOUN
cuesj-323	47	19	,	,	PUNCT
cuesj-323	47	20	using	use	VERB
cuesj-323	47	21	an	an	DET
cuesj-323	47	22	auction	auction	NOUN
cuesj-323	47	23	algorithm	algorithm	NOUN
cuesj-323	47	24	.	.	PUNCT
cuesj-323	48	1	in	in	ADP
cuesj-323	48	2	their	their	PRON
cuesj-323	48	3	later	late	ADJ
cuesj-323	48	4	work,[14	work,[14	PROPN
cuesj-323	48	5	]	]	X
cuesj-323	48	6	they	they	PRON
cuesj-323	48	7	adopted	adopt	VERB
cuesj-323	48	8	a	a	DET
cuesj-323	48	9	lagrangian	lagrangian	ADJ
cuesj-323	48	10	relaxation	relaxation	NOUN
cuesj-323	48	11	approach	approach	NOUN
cuesj-323	48	12	along	along	ADP
cuesj-323	48	13	with	with	ADP
cuesj-323	48	14	column	column	NOUN
cuesj-323	48	15	generation	generation	NOUN
cuesj-323	48	16	(	(	PUNCT
cuesj-323	48	17	cg	cg	NOUN
cuesj-323	48	18	)	)	PUNCT
cuesj-323	48	19	that	that	PRON
cuesj-323	48	20	resulted	result	VERB
cuesj-323	48	21	in	in	ADP
cuesj-323	48	22	better	well	ADJ
cuesj-323	48	23	solutions	solution	NOUN
cuesj-323	48	24	compared	compare	VERB
cuesj-323	48	25	to	to	ADP
cuesj-323	48	26	the	the	DET
cuesj-323	48	27	previously	previously	ADV
cuesj-323	48	28	developed	develop	VERB
cuesj-323	48	29	dss	dss	NOUN
cuesj-323	48	30	.	.	PUNCT
cuesj-323	49	1	the	the	DET
cuesj-323	49	2	same	same	ADJ
cuesj-323	49	3	lagrangian	lagrangian	ADJ
cuesj-323	49	4	approach	approach	NOUN
cuesj-323	49	5	was	be	AUX
cuesj-323	49	6	also	also	ADV
cuesj-323	49	7	applied	apply	VERB
cuesj-323	49	8	to	to	ADP
cuesj-323	49	9	a	a	DET
cuesj-323	49	10	simple	simple	ADJ
cuesj-323	49	11	routing	routing	NOUN
cuesj-323	49	12	problem	problem	NOUN
cuesj-323	49	13	(	(	PUNCT
cuesj-323	49	14	vrp).[15	vrp).[15	PROPN
cuesj-323	49	15	]	]	X
cuesj-323	49	16	however	however	ADV
cuesj-323	49	17	,	,	PUNCT
cuesj-323	49	18	their	their	PRON
cuesj-323	49	19	latest	late	ADJ
cuesj-323	49	20	proposed	propose	VERB
cuesj-323	49	21	approach	approach	NOUN
cuesj-323	49	22	faced	face	VERB
cuesj-323	49	23	performance	performance	NOUN
cuesj-323	49	24	limitation	limitation	NOUN
cuesj-323	49	25	when	when	SCONJ
cuesj-323	49	26	applied	apply	VERB
cuesj-323	49	27	to	to	ADP
cuesj-323	49	28	large	large	ADJ
cuesj-323	49	29	-	-	PUNCT
cuesj-323	49	30	scale	scale	NOUN
cuesj-323	49	31	problems	problem	NOUN
cuesj-323	49	32	.	.	PUNCT
cuesj-323	50	1	furthermore	furthermore	ADV
cuesj-323	50	2	,	,	PUNCT
cuesj-323	50	3	they	they	PRON
cuesj-323	50	4	only	only	ADV
cuesj-323	50	5	introduced	introduce	VERB
cuesj-323	50	6	a	a	DET
cuesj-323	50	7	vehicle	vehicle	NOUN
cuesj-323	50	8	disruption	disruption	NOUN
cuesj-323	50	9	once	once	ADV
cuesj-323	50	10	during	during	ADP
cuesj-323	50	11	the	the	DET
cuesj-323	50	12	model	model	NOUN
cuesj-323	50	13	run	run	NOUN
cuesj-323	50	14	and	and	CCONJ
cuesj-323	50	15	were	be	AUX
cuesj-323	50	16	predetermined	predetermine	VERB
cuesj-323	50	17	earlier	early	ADV
cuesj-323	50	18	,	,	PUNCT
cuesj-323	50	19	making	make	VERB
cuesj-323	50	20	it	it	PRON
cuesj-323	50	21	not	not	PART
cuesj-323	50	22	dynamic	dynamic	ADJ
cuesj-323	50	23	.	.	PUNCT
cuesj-323	51	1	pandi	pandi	PROPN
cuesj-323	51	2	et	et	PROPN
cuesj-323	51	3	al.[15	al.[15	PROPN
cuesj-323	51	4	]	]	PUNCT
cuesj-323	51	5	introduced	introduce	VERB
cuesj-323	51	6	a	a	DET
cuesj-323	51	7	breakdown	breakdown	ADJ
cuesj-323	51	8	problem	problem	NOUN
cuesj-323	51	9	to	to	ADP
cuesj-323	51	10	a	a	DET
cuesj-323	51	11	diala	diala	NOUN
cuesj-323	51	12	-	-	PUNCT
cuesj-323	51	13	ride	ride	NOUN
cuesj-323	51	14	problem	problem	NOUN
cuesj-323	51	15	,	,	PUNCT
cuesj-323	51	16	where	where	SCONJ
cuesj-323	51	17	people	people	NOUN
cuesj-323	51	18	are	be	AUX
cuesj-323	51	19	transported	transport	VERB
cuesj-323	51	20	from	from	ADP
cuesj-323	51	21	pickup	pickup	NOUN
cuesj-323	51	22	to	to	ADP
cuesj-323	51	23	delivery	delivery	NOUN
cuesj-323	51	24	locations	location	NOUN
cuesj-323	51	25	,	,	PUNCT
cuesj-323	51	26	and	and	CCONJ
cuesj-323	51	27	proposed	propose	VERB
cuesj-323	51	28	a	a	DET
cuesj-323	51	29	graphics	graphic	NOUN
cuesj-323	51	30	processing	processing	NOUN
cuesj-323	51	31	unit	unit	NOUN
cuesj-323	51	32	computed	compute	VERB
cuesj-323	51	33	extensive	extensive	ADJ
cuesj-323	51	34	neighborhood	neighborhood	NOUN
cuesj-323	51	35	search	search	NOUN
cuesj-323	51	36	that	that	PRON
cuesj-323	51	37	is	be	AUX
cuesj-323	51	38	triggered	trigger	VERB
cuesj-323	51	39	every	every	DET
cuesj-323	51	40	time	time	NOUN
cuesj-323	51	41	a	a	DET
cuesj-323	51	42	breakdown	breakdown	NOUN
cuesj-323	51	43	occurs	occur	VERB
cuesj-323	51	44	to	to	PART
cuesj-323	51	45	minimize	minimize	VERB
cuesj-323	51	46	the	the	DET
cuesj-323	51	47	fleet	fleet	NOUN
cuesj-323	51	48	size	size	NOUN
cuesj-323	51	49	.	.	PUNCT
cuesj-323	52	1	the	the	DET
cuesj-323	52	2	approach	approach	NOUN
cuesj-323	52	3	resulted	result	VERB
cuesj-323	52	4	in	in	ADP
cuesj-323	52	5	improved	improved	ADJ
cuesj-323	52	6	vehicle	vehicle	NOUN
cuesj-323	52	7	utilization	utilization	NOUN
cuesj-323	52	8	and	and	CCONJ
cuesj-323	52	9	reduced	reduce	VERB
cuesj-323	52	10	operational	operational	ADJ
cuesj-323	52	11	costs	cost	NOUN
cuesj-323	52	12	under	under	ADP
cuesj-323	52	13	disruption	disruption	NOUN
cuesj-323	52	14	with	with	ADP
cuesj-323	52	15	efficient	efficient	ADJ
cuesj-323	52	16	computing	computing	NOUN
cuesj-323	52	17	compared	compare	VERB
cuesj-323	52	18	to	to	ADP
cuesj-323	52	19	cpu	cpu	NOUN
cuesj-323	52	20	-	-	PUNCT
cuesj-323	52	21	based	base	VERB
cuesj-323	52	22	approaches	approach	NOUN
cuesj-323	52	23	.	.	PUNCT
cuesj-323	53	1	mu	mu	PROPN
cuesj-323	53	2	et	et	PROPN
cuesj-323	53	3	al.[16	al.[16	PROPN
cuesj-323	53	4	]	]	PUNCT
cuesj-323	53	5	based	base	VERB
cuesj-323	53	6	their	their	PRON
cuesj-323	53	7	work	work	NOUN
cuesj-323	53	8	on	on	ADP
cuesj-323	53	9	li	li	PROPN
cuesj-323	53	10	et	et	PROPN
cuesj-323	53	11	al.;[15	al.;[15	PROPN
cuesj-323	53	12	]	]	PUNCT
cuesj-323	53	13	however	however	ADV
cuesj-323	53	14	,	,	PUNCT
cuesj-323	53	15	it	it	PRON
cuesj-323	53	16	deals	deal	VERB
cuesj-323	53	17	with	with	ADP
cuesj-323	53	18	delivering	deliver	VERB
cuesj-323	53	19	a	a	DET
cuesj-323	53	20	single	single	ADJ
cuesj-323	53	21	commodity	commodity	NOUN
cuesj-323	53	22	that	that	PRON
cuesj-323	53	23	does	do	AUX
cuesj-323	53	24	not	not	PART
cuesj-323	53	25	require	require	VERB
cuesj-323	53	26	a	a	DET
cuesj-323	53	27	visit	visit	NOUN
cuesj-323	53	28	to	to	ADP
cuesj-323	53	29	the	the	DET
cuesj-323	53	30	disrupted	disrupt	VERB
cuesj-323	53	31	vehicle	vehicle	NOUN
cuesj-323	53	32	.	.	PUNCT
cuesj-323	54	1	they	they	PRON
cuesj-323	54	2	adopted	adopt	VERB
cuesj-323	54	3	a	a	DET
cuesj-323	54	4	method	method	NOUN
cuesj-323	54	5	of	of	ADP
cuesj-323	54	6	heuristic	heuristic	ADJ
cuesj-323	54	7	insertion	insertion	NOUN
cuesj-323	54	8	of	of	ADP
cuesj-323	54	9	the	the	DET
cuesj-323	54	10	disrupted	disrupt	VERB
cuesj-323	54	11	customers	customer	NOUN
cuesj-323	54	12	,	,	PUNCT
cuesj-323	54	13	resulted	result	VERB
cuesj-323	54	14	from	from	ADP
cuesj-323	54	15	figure	figure	NOUN
cuesj-323	54	16	1	1	NUM
cuesj-323	54	17	:	:	PUNCT
cuesj-323	54	18	problem	problem	NOUN
cuesj-323	54	19	visualization	visualization	NOUN
cuesj-323	54	20	abu	abu	PROPN
cuesj-323	54	21	-	-	PUNCT
cuesj-323	54	22	monshar	monshar	PROPN
cuesj-323	54	23	,	,	PUNCT
cuesj-323	54	24	et	et	PROPN
cuesj-323	54	25	al	al	PROPN
cuesj-323	54	26	.	.	PROPN
cuesj-323	54	27	:	:	PUNCT
cuesj-323	54	28	vehicle	vehicle	NOUN
cuesj-323	54	29	breakdown	breakdown	NOUN
cuesj-323	54	30	in	in	ADP
cuesj-323	54	31	dvrp	dvrp	PROPN
cuesj-323	54	32	3	3	NUM
cuesj-323	54	33	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	54	34	cuesj	cuesj	ADJ
cuesj-323	54	35	2021	2021	NUM
cuesj-323	54	36	,	,	PUNCT
cuesj-323	54	37	5	5	NUM
cuesj-323	54	38	(	(	PUNCT
cuesj-323	54	39	1	1	NUM
cuesj-323	54	40	):	):	PUNCT
cuesj-323	54	41	1	1	NUM
cuesj-323	54	42	-	-	SYM
cuesj-323	54	43	10	10	NUM
cuesj-323	54	44	the	the	DET
cuesj-323	54	45	disrupted	disrupt	VERB
cuesj-323	54	46	vehicle	vehicle	NOUN
cuesj-323	54	47	,	,	PUNCT
cuesj-323	54	48	and	and	CCONJ
cuesj-323	54	49	then	then	ADV
cuesj-323	54	50	improved	improve	VERB
cuesj-323	54	51	the	the	DET
cuesj-323	54	52	solution	solution	NOUN
cuesj-323	54	53	using	use	VERB
cuesj-323	54	54	ts	ts	NOUN
cuesj-323	54	55	.	.	PUNCT
cuesj-323	55	1	compared	compare	VERB
cuesj-323	55	2	to	to	ADP
cuesj-323	55	3	the	the	DET
cuesj-323	55	4	exact	exact	ADJ
cuesj-323	55	5	method	method	NOUN
cuesj-323	55	6	,	,	PUNCT
cuesj-323	55	7	the	the	DET
cuesj-323	55	8	approach	approach	NOUN
cuesj-323	55	9	provided	provide	VERB
cuesj-323	55	10	a	a	DET
cuesj-323	55	11	slight	slight	ADJ
cuesj-323	55	12	cost	cost	NOUN
cuesj-323	55	13	increase	increase	NOUN
cuesj-323	55	14	to	to	PART
cuesj-323	55	15	minimize	minimize	VERB
cuesj-323	55	16	the	the	DET
cuesj-323	55	17	number	number	NOUN
cuesj-323	55	18	of	of	ADP
cuesj-323	55	19	vehicles	vehicle	NOUN
cuesj-323	55	20	,	,	PUNCT
cuesj-323	55	21	and	and	CCONJ
cuesj-323	55	22	total	total	ADJ
cuesj-323	55	23	distance	distance	NOUN
cuesj-323	55	24	traveled	travel	VERB
cuesj-323	55	25	from	from	ADP
cuesj-323	55	26	the	the	DET
cuesj-323	55	27	optimal	optimal	ADJ
cuesj-323	55	28	solution	solution	NOUN
cuesj-323	55	29	.	.	PUNCT
cuesj-323	56	1	however	however	ADV
cuesj-323	56	2	,	,	PUNCT
cuesj-323	56	3	the	the	DET
cuesj-323	56	4	problem	problem	NOUN
cuesj-323	56	5	understudy	understudy	NOUN
cuesj-323	56	6	was	be	AUX
cuesj-323	56	7	also	also	ADV
cuesj-323	56	8	limited	limit	VERB
cuesj-323	56	9	to	to	ADP
cuesj-323	56	10	1	1	NUM
cuesj-323	56	11	time	time	NOUN
cuesj-323	56	12	pre	pre	ADJ
cuesj-323	56	13	-	-	ADJ
cuesj-323	56	14	specified	specified	ADJ
cuesj-323	56	15	vehicle	vehicle	NOUN
cuesj-323	56	16	disruption	disruption	NOUN
cuesj-323	56	17	.	.	PUNCT
cuesj-323	57	1	minis	mini	NOUN
cuesj-323	57	2	also	also	ADV
cuesj-323	57	3	adopted	adopt	VERB
cuesj-323	57	4	another	another	DET
cuesj-323	57	5	heuristic	heuristic	NOUN
cuesj-323	57	6	/	/	SYM
cuesj-323	57	7	meta	meta	ADJ
cuesj-323	57	8	-	-	PUNCT
cuesj-323	57	9	heuristic	heuristic	ADJ
cuesj-323	57	10	approach	approach	NOUN
cuesj-323	57	11	,	,	PUNCT
cuesj-323	57	12	mamasis	mamasis	NOUN
cuesj-323	57	13	and	and	CCONJ
cuesj-323	57	14	zeimpekis,[17	zeimpekis,[17	NUM
cuesj-323	57	15	]	]	X
cuesj-323	57	16	for	for	ADP
cuesj-323	57	17	a	a	DET
cuesj-323	57	18	vrp	vrp	NOUN
cuesj-323	57	19	under	under	ADP
cuesj-323	57	20	breakdown	breakdown	NOUN
cuesj-323	57	21	with	with	ADP
cuesj-323	57	22	an	an	DET
cuesj-323	57	23	objective	objective	NOUN
cuesj-323	57	24	adopted	adopt	VERB
cuesj-323	57	25	from	from	ADP
cuesj-323	57	26	the	the	DET
cuesj-323	57	27	team	team	NOUN
cuesj-323	57	28	orienteering	orienteere	VERB
cuesj-323	57	29	problem	problem	NOUN
cuesj-323	57	30	that	that	PRON
cuesj-323	57	31	aims	aim	VERB
cuesj-323	57	32	at	at	ADP
cuesj-323	57	33	maximizing	maximize	VERB
cuesj-323	57	34	customers	customer	NOUN
cuesj-323	57	35	served	serve	VERB
cuesj-323	57	36	.	.	PUNCT
cuesj-323	58	1	disrupted	disrupt	VERB
cuesj-323	58	2	customers	customer	NOUN
cuesj-323	58	3	are	be	AUX
cuesj-323	58	4	sought	seek	VERB
cuesj-323	58	5	to	to	PART
cuesj-323	58	6	be	be	AUX
cuesj-323	58	7	routed	route	VERB
cuesj-323	58	8	by	by	ADP
cuesj-323	58	9	an	an	DET
cuesj-323	58	10	insertion	insertion	NOUN
cuesj-323	58	11	heuristic	heuristic	NOUN
cuesj-323	58	12	then	then	ADV
cuesj-323	58	13	compared	compare	VERB
cuesj-323	58	14	to	to	ADP
cuesj-323	58	15	an	an	DET
cuesj-323	58	16	extensive	extensive	ADJ
cuesj-323	58	17	genetic	genetic	ADJ
cuesj-323	58	18	algorithm	algorithm	NOUN
cuesj-323	58	19	(	(	PUNCT
cuesj-323	58	20	ga	ga	NOUN
cuesj-323	58	21	)	)	PUNCT
cuesj-323	58	22	approach	approach	NOUN
cuesj-323	58	23	that	that	PRON
cuesj-323	58	24	allows	allow	VERB
cuesj-323	58	25	more	more	ADJ
cuesj-323	58	26	time	time	NOUN
cuesj-323	58	27	to	to	PART
cuesj-323	58	28	generate	generate	VERB
cuesj-323	58	29	feasible	feasible	ADJ
cuesj-323	58	30	solutions	solution	NOUN
cuesj-323	58	31	.	.	PUNCT
cuesj-323	59	1	in	in	ADP
cuesj-323	59	2	a	a	DET
cuesj-323	59	3	later	later	ADJ
cuesj-323	59	4	work,[18	work,[18	NOUN
cuesj-323	59	5	]	]	PUNCT
cuesj-323	59	6	the	the	DET
cuesj-323	59	7	authors	author	NOUN
cuesj-323	59	8	consider	consider	VERB
cuesj-323	59	9	a	a	DET
cuesj-323	59	10	single	single	ADJ
cuesj-323	59	11	commodity	commodity	NOUN
cuesj-323	59	12	delivery	delivery	NOUN
cuesj-323	59	13	with	with	ADP
cuesj-323	59	14	a	a	DET
cuesj-323	59	15	possibility	possibility	NOUN
cuesj-323	59	16	of	of	ADP
cuesj-323	59	17	visiting	visit	VERB
cuesj-323	59	18	the	the	DET
cuesj-323	59	19	disrupted	disrupt	VERB
cuesj-323	59	20	customers	customer	NOUN
cuesj-323	59	21	for	for	ADP
cuesj-323	59	22	load	load	NOUN
cuesj-323	59	23	replenishment	replenishment	NOUN
cuesj-323	59	24	.	.	PUNCT
cuesj-323	60	1	in	in	ADP
cuesj-323	60	2	both	both	DET
cuesj-323	60	3	papers	paper	NOUN
cuesj-323	60	4	,	,	PUNCT
cuesj-323	60	5	the	the	DET
cuesj-323	60	6	only	only	ADJ
cuesj-323	60	7	heuristic	heuristic	ADJ
cuesj-323	60	8	approach	approach	NOUN
cuesj-323	60	9	has	have	VERB
cuesj-323	60	10	slightly	slightly	ADV
cuesj-323	60	11	costly	costly	ADJ
cuesj-323	60	12	deviation	deviation	NOUN
cuesj-323	60	13	compared	compare	VERB
cuesj-323	60	14	to	to	PART
cuesj-323	60	15	develop	develop	VERB
cuesj-323	60	16	ga	ga	NOUN
cuesj-323	60	17	making	make	VERB
cuesj-323	60	18	the	the	DET
cuesj-323	60	19	heuristic	heuristic	ADJ
cuesj-323	60	20	approach	approach	NOUN
cuesj-323	60	21	more	more	ADV
cuesj-323	60	22	responsive	responsive	ADJ
cuesj-323	60	23	.	.	PUNCT
cuesj-323	61	1	however	however	ADV
cuesj-323	61	2	,	,	PUNCT
cuesj-323	61	3	an	an	DET
cuesj-323	61	4	assumption	assumption	NOUN
cuesj-323	61	5	has	have	AUX
cuesj-323	61	6	been	be	AUX
cuesj-323	61	7	made	make	VERB
cuesj-323	61	8	that	that	SCONJ
cuesj-323	61	9	only	only	ADV
cuesj-323	61	10	one	one	NUM
cuesj-323	61	11	breakdown	breakdown	NOUN
cuesj-323	61	12	occurs	occur	VERB
cuesj-323	61	13	and	and	CCONJ
cuesj-323	61	14	is	be	AUX
cuesj-323	61	15	pre	pre	ADJ
cuesj-323	61	16	-	-	VERB
cuesj-323	61	17	specified	specified	ADJ
cuesj-323	61	18	,	,	PUNCT
cuesj-323	61	19	and	and	CCONJ
cuesj-323	61	20	accordingly	accordingly	ADV
cuesj-323	61	21	,	,	PUNCT
cuesj-323	61	22	the	the	DET
cuesj-323	61	23	optimization	optimization	NOUN
cuesj-323	61	24	is	be	AUX
cuesj-323	61	25	done	do	VERB
cuesj-323	61	26	once	once	ADV
cuesj-323	61	27	per	per	ADP
cuesj-323	61	28	problem	problem	NOUN
cuesj-323	61	29	.	.	PUNCT
cuesj-323	62	1	van	van	PROPN
cuesj-323	62	2	der	der	PROPN
cuesj-323	62	3	merwe	merwe	PROPN
cuesj-323	62	4	et	et	PROPN
cuesj-323	62	5	al.[19	al.[19	PROPN
cuesj-323	62	6	]	]	PUNCT
cuesj-323	62	7	studied	study	VERB
cuesj-323	62	8	the	the	DET
cuesj-323	62	9	problem	problem	NOUN
cuesj-323	62	10	of	of	ADP
cuesj-323	62	11	wildfire	wildfire	NOUN
cuesj-323	62	12	responses	response	NOUN
cuesj-323	62	13	in	in	ADP
cuesj-323	62	14	the	the	DET
cuesj-323	62	15	form	form	NOUN
cuesj-323	62	16	of	of	ADP
cuesj-323	62	17	vrp	vrp	PROPN
cuesj-323	62	18	under	under	ADP
cuesj-323	62	19	a	a	DET
cuesj-323	62	20	vehicle	vehicle	NOUN
cuesj-323	62	21	breakdown	breakdown	NOUN
cuesj-323	62	22	to	to	PART
cuesj-323	62	23	maximize	maximize	VERB
cuesj-323	62	24	coverage	coverage	NOUN
cuesj-323	62	25	and	and	CCONJ
cuesj-323	62	26	minimize	minimize	VERB
cuesj-323	62	27	deviations	deviation	NOUN
cuesj-323	62	28	from	from	ADP
cuesj-323	62	29	the	the	DET
cuesj-323	62	30	original	original	ADJ
cuesj-323	62	31	plan	plan	NOUN
cuesj-323	62	32	.	.	PUNCT
cuesj-323	63	1	they	they	PRON
cuesj-323	63	2	proposed	propose	VERB
cuesj-323	63	3	a	a	DET
cuesj-323	63	4	biobjective	biobjective	ADJ
cuesj-323	63	5	mixed	mixed	ADJ
cuesj-323	63	6	integer	integer	NOUN
cuesj-323	63	7	programming	programming	NOUN
cuesj-323	63	8	(	(	PUNCT
cuesj-323	63	9	mip	mip	PROPN
cuesj-323	63	10	)	)	PUNCT
cuesj-323	63	11	adapted	adapt	VERB
cuesj-323	63	12	to	to	ADP
cuesj-323	63	13	the	the	DET
cuesj-323	63	14	problem	problem	NOUN
cuesj-323	63	15	after	after	ADP
cuesj-323	63	16	the	the	DET
cuesj-323	63	17	breakdown	breakdown	NOUN
cuesj-323	63	18	and	and	CCONJ
cuesj-323	63	19	limited	limit	VERB
cuesj-323	63	20	the	the	DET
cuesj-323	63	21	solution	solution	NOUN
cuesj-323	63	22	time	time	NOUN
cuesj-323	63	23	for	for	ADP
cuesj-323	63	24	30	30	NUM
cuesj-323	63	25	min	min	NOUN
cuesj-323	63	26	.	.	NOUN
cuesj-323	63	27	experimental	experimental	ADJ
cuesj-323	63	28	problems	problem	NOUN
cuesj-323	63	29	with	with	ADP
cuesj-323	63	30	30	30	NUM
cuesj-323	63	31	,	,	PUNCT
cuesj-323	63	32	40	40	NUM
cuesj-323	63	33	,	,	PUNCT
cuesj-323	63	34	50	50	NUM
cuesj-323	63	35	,	,	PUNCT
cuesj-323	63	36	and	and	CCONJ
cuesj-323	63	37	60	60	NUM
cuesj-323	63	38	nodes	node	NOUN
cuesj-323	63	39	were	be	AUX
cuesj-323	63	40	considered	consider	VERB
cuesj-323	63	41	,	,	PUNCT
cuesj-323	63	42	each	each	PRON
cuesj-323	63	43	with	with	ADP
cuesj-323	63	44	10	10	NUM
cuesj-323	63	45	vehicles	vehicle	NOUN
cuesj-323	63	46	.	.	PUNCT
cuesj-323	64	1	solution	solution	NOUN
cuesj-323	64	2	for	for	ADP
cuesj-323	64	3	problem	problem	NOUN
cuesj-323	64	4	sizes	size	NOUN
cuesj-323	64	5	of	of	ADP
cuesj-323	64	6	40	40	NUM
cuesj-323	64	7	and	and	CCONJ
cuesj-323	64	8	above	above	ADV
cuesj-323	64	9	could	could	AUX
cuesj-323	64	10	not	not	PART
cuesj-323	64	11	be	be	AUX
cuesj-323	64	12	produced	produce	VERB
cuesj-323	64	13	as	as	SCONJ
cuesj-323	64	14	mip	mip	PROPN
cuesj-323	64	15	need	need	VERB
cuesj-323	64	16	more	more	ADJ
cuesj-323	64	17	time	time	NOUN
cuesj-323	64	18	to	to	PART
cuesj-323	64	19	search	search	VERB
cuesj-323	64	20	for	for	ADP
cuesj-323	64	21	the	the	DET
cuesj-323	64	22	optimal	optimal	ADJ
cuesj-323	64	23	solution	solution	NOUN
cuesj-323	64	24	.	.	PUNCT
cuesj-323	65	1	the	the	DET
cuesj-323	65	2	mip	mip	PROPN
cuesj-323	65	3	approach	approach	NOUN
cuesj-323	65	4	is	be	AUX
cuesj-323	65	5	limited	limit	VERB
cuesj-323	65	6	,	,	PUNCT
cuesj-323	65	7	and	and	CCONJ
cuesj-323	65	8	,	,	PUNCT
cuesj-323	65	9	in	in	ADP
cuesj-323	65	10	the	the	DET
cuesj-323	65	11	case	case	NOUN
cuesj-323	65	12	of	of	ADP
cuesj-323	65	13	multiple	multiple	ADJ
cuesj-323	65	14	random	random	ADJ
cuesj-323	65	15	breakdowns	breakdown	NOUN
cuesj-323	65	16	,	,	PUNCT
cuesj-323	65	17	the	the	DET
cuesj-323	65	18	method	method	NOUN
cuesj-323	65	19	would	would	AUX
cuesj-323	65	20	not	not	PART
cuesj-323	65	21	be	be	AUX
cuesj-323	65	22	applicable	applicable	ADJ
cuesj-323	65	23	.	.	PUNCT
cuesj-323	66	1	seyyedhasani	seyyedhasani	PROPN
cuesj-323	66	2	and	and	CCONJ
cuesj-323	66	3	dvorak[20	dvorak[20	PROPN
cuesj-323	66	4	]	]	PUNCT
cuesj-323	66	5	tackled	tackle	VERB
cuesj-323	66	6	a	a	DET
cuesj-323	66	7	vrp	vrp	NOUN
cuesj-323	66	8	problem	problem	NOUN
cuesj-323	66	9	in	in	ADP
cuesj-323	66	10	an	an	DET
cuesj-323	66	11	agricultural	agricultural	ADJ
cuesj-323	66	12	context	context	NOUN
cuesj-323	66	13	where	where	SCONJ
cuesj-323	66	14	land	land	NOUN
cuesj-323	66	15	is	be	AUX
cuesj-323	66	16	needed	need	VERB
cuesj-323	66	17	to	to	PART
cuesj-323	66	18	be	be	AUX
cuesj-323	66	19	harvested	harvest	VERB
cuesj-323	66	20	using	use	VERB
cuesj-323	66	21	vehicles	vehicle	NOUN
cuesj-323	66	22	,	,	PUNCT
cuesj-323	66	23	and	and	CCONJ
cuesj-323	66	24	the	the	DET
cuesj-323	66	25	aim	aim	NOUN
cuesj-323	66	26	is	be	AUX
cuesj-323	66	27	to	to	PART
cuesj-323	66	28	minimize	minimize	VERB
cuesj-323	66	29	the	the	DET
cuesj-323	66	30	time	time	NOUN
cuesj-323	66	31	needed	need	VERB
cuesj-323	66	32	.	.	PUNCT
cuesj-323	67	1	they	they	PRON
cuesj-323	67	2	considered	consider	VERB
cuesj-323	67	3	a	a	DET
cuesj-323	67	4	problem	problem	NOUN
cuesj-323	67	5	with	with	ADP
cuesj-323	67	6	three	three	NUM
cuesj-323	67	7	vehicles	vehicle	NOUN
cuesj-323	67	8	with	with	ADP
cuesj-323	67	9	a	a	DET
cuesj-323	67	10	breakdown	breakdown	NOUN
cuesj-323	67	11	introduced	introduce	VERB
cuesj-323	67	12	in	in	ADP
cuesj-323	67	13	one	one	NUM
cuesj-323	67	14	of	of	ADP
cuesj-323	67	15	them	they	PRON
cuesj-323	67	16	at	at	ADP
cuesj-323	67	17	25	25	NUM
cuesj-323	67	18	%	%	NOUN
cuesj-323	67	19	,	,	PUNCT
cuesj-323	67	20	50	50	NUM
cuesj-323	67	21	%	%	NOUN
cuesj-323	67	22	,	,	PUNCT
cuesj-323	67	23	or	or	CCONJ
cuesj-323	67	24	75	75	NUM
cuesj-323	67	25	%	%	NOUN
cuesj-323	67	26	completion	completion	NOUN
cuesj-323	67	27	of	of	ADP
cuesj-323	67	28	the	the	DET
cuesj-323	67	29	land	land	NOUN
cuesj-323	67	30	.	.	PUNCT
cuesj-323	68	1	ts	ts	X
cuesj-323	68	2	is	be	AUX
cuesj-323	68	3	considered	consider	VERB
cuesj-323	68	4	an	an	DET
cuesj-323	68	5	initial	initial	ADJ
cuesj-323	68	6	solution	solution	NOUN
cuesj-323	68	7	provided	provide	VERB
cuesj-323	68	8	by	by	ADP
cuesj-323	68	9	a	a	DET
cuesj-323	68	10	saving	save	VERB
cuesj-323	68	11	heuristic.[21	heuristic.[21	NOUN
cuesj-323	68	12	]	]	PUNCT
cuesj-323	68	13	although	although	SCONJ
cuesj-323	68	14	the	the	DET
cuesj-323	68	15	approach	approach	NOUN
cuesj-323	68	16	provided	provide	VERB
cuesj-323	68	17	an	an	DET
cuesj-323	68	18	optimal	optimal	ADJ
cuesj-323	68	19	solution	solution	NOUN
cuesj-323	68	20	,	,	PUNCT
cuesj-323	68	21	the	the	DET
cuesj-323	68	22	problem	problem	NOUN
cuesj-323	68	23	considered	consider	VERB
cuesj-323	68	24	is	be	AUX
cuesj-323	68	25	small	small	ADJ
cuesj-323	68	26	,	,	PUNCT
cuesj-323	68	27	and	and	CCONJ
cuesj-323	68	28	an	an	DET
cuesj-323	68	29	assumption	assumption	NOUN
cuesj-323	68	30	of	of	ADP
cuesj-323	68	31	pre	pre	ADJ
cuesj-323	68	32	-	-	ADJ
cuesj-323	68	33	specifying	specify	VERB
cuesj-323	68	34	when	when	SCONJ
cuesj-323	68	35	the	the	DET
cuesj-323	68	36	breakdown	breakdown	NOUN
cuesj-323	68	37	would	would	AUX
cuesj-323	68	38	occur	occur	VERB
cuesj-323	68	39	limits	limit	NOUN
cuesj-323	68	40	the	the	DET
cuesj-323	68	41	problem	problem	NOUN
cuesj-323	68	42	.	.	PUNCT
cuesj-323	69	1	moreover	moreover	ADV
cuesj-323	69	2	,	,	PUNCT
cuesj-323	69	3	the	the	DET
cuesj-323	69	4	solution	solution	NOUN
cuesj-323	69	5	adopted	adopt	VERB
cuesj-323	69	6	is	be	AUX
cuesj-323	69	7	restricted	restrict	VERB
cuesj-323	69	8	to	to	ADP
cuesj-323	69	9	such	such	ADJ
cuesj-323	69	10	1	1	NUM
cuesj-323	69	11	time	time	NOUN
cuesj-323	69	12	optimization	optimization	NOUN
cuesj-323	69	13	per	per	ADP
cuesj-323	69	14	problem	problem	NOUN
cuesj-323	69	15	.	.	PUNCT
cuesj-323	70	1	it	it	PRON
cuesj-323	70	2	is	be	AUX
cuesj-323	70	3	necessary	necessary	ADJ
cuesj-323	70	4	to	to	PART
cuesj-323	70	5	differentiate	differentiate	VERB
cuesj-323	70	6	between	between	ADP
cuesj-323	70	7	vehicle	vehicle	NOUN
cuesj-323	70	8	routing	routing	NOUN
cuesj-323	70	9	and	and	CCONJ
cuesj-323	70	10	scheduling	scheduling	NOUN
cuesj-323	70	11	problems	problem	NOUN
cuesj-323	70	12	.	.	PUNCT
cuesj-323	71	1	scheduling	schedule	VERB
cuesj-323	71	2	explicitly	explicitly	ADV
cuesj-323	71	3	specifies	specifie	NOUN
cuesj-323	71	4	when	when	SCONJ
cuesj-323	71	5	a	a	DET
cuesj-323	71	6	vehicle	vehicle	NOUN
cuesj-323	71	7	should	should	AUX
cuesj-323	71	8	arrive	arrive	VERB
cuesj-323	71	9	at	at	ADP
cuesj-323	71	10	a	a	DET
cuesj-323	71	11	node	node	NOUN
cuesj-323	71	12	while	while	SCONJ
cuesj-323	71	13	routing	routing	NOUN
cuesj-323	71	14	does	do	VERB
cuesj-323	71	15	not.[22	not.[22	ADV
cuesj-323	71	16	]	]	PUNCT
cuesj-323	71	17	this	this	DET
cuesj-323	71	18	specification	specification	NOUN
cuesj-323	71	19	makes	make	VERB
cuesj-323	71	20	the	the	DET
cuesj-323	71	21	routing	routing	NOUN
cuesj-323	71	22	problem	problem	NOUN
cuesj-323	71	23	much	much	ADV
cuesj-323	71	24	complex	complex	ADJ
cuesj-323	71	25	as	as	SCONJ
cuesj-323	71	26	it	it	PRON
cuesj-323	71	27	searches	search	VERB
cuesj-323	71	28	for	for	ADP
cuesj-323	71	29	a	a	DET
cuesj-323	71	30	more	more	ADV
cuesj-323	71	31	extensive	extensive	ADJ
cuesj-323	71	32	solution	solution	NOUN
cuesj-323	71	33	space	space	NOUN
cuesj-323	71	34	.	.	PUNCT
cuesj-323	72	1	all	all	DET
cuesj-323	72	2	the	the	DET
cuesj-323	72	3	papers	paper	NOUN
cuesj-323	72	4	mentioned	mention	VERB
cuesj-323	72	5	previously	previously	ADV
cuesj-323	72	6	are	be	AUX
cuesj-323	72	7	routing	route	VERB
cuesj-323	72	8	problems	problem	NOUN
cuesj-323	72	9	(	(	PUNCT
cuesj-323	72	10	vrp	vrp	NOUN
cuesj-323	72	11	)	)	PUNCT
cuesj-323	72	12	,	,	PUNCT
cuesj-323	72	13	except	except	SCONJ
cuesj-323	72	14	for	for	ADP
cuesj-323	72	15	borenstein	borenstein	NOUN
cuesj-323	72	16	and	and	CCONJ
cuesj-323	72	17	mirchandani,[12	mirchandani,[12	NOUN
cuesj-323	72	18	]	]	X
cuesj-323	72	19	li	li	PROPN
cuesj-323	72	20	et	et	PROPN
cuesj-323	72	21	al	al	PROPN
cuesj-323	72	22	.	.	PROPN
cuesj-323	72	23	,[13	,[13	PROPN
cuesj-323	72	24	]	]	PUNCT
cuesj-323	72	25	and	and	CCONJ
cuesj-323	72	26	li	li	PROPN
cuesj-323	72	27	et	et	PROPN
cuesj-323	72	28	al	al	PROPN
cuesj-323	72	29	.	.	PROPN
cuesj-323	72	30	,[14	,[14	PROPN
cuesj-323	72	31	]	]	PUNCT
cuesj-323	72	32	as	as	SCONJ
cuesj-323	72	33	they	they	PRON
cuesj-323	72	34	are	be	AUX
cuesj-323	72	35	rescheduling	reschedule	VERB
cuesj-323	72	36	problems	problem	NOUN
cuesj-323	72	37	(	(	PUNCT
cuesj-323	72	38	vrsp	vrsp	PROPN
cuesj-323	72	39	)	)	PUNCT
cuesj-323	72	40	.	.	PUNCT
cuesj-323	73	1	van	van	PROPN
cuesj-323	73	2	lieshout	lieshout	PROPN
cuesj-323	73	3	et	et	PROPN
cuesj-323	73	4	al.[23	al.[23	PROPN
cuesj-323	73	5	]	]	PUNCT
cuesj-323	73	6	extended	extend	VERB
cuesj-323	73	7	the	the	DET
cuesj-323	73	8	work	work	NOUN
cuesj-323	73	9	in	in	ADP
cuesj-323	73	10	li	li	PROPN
cuesj-323	73	11	et	et	PROPN
cuesj-323	73	12	al.[14	al.[14	PROPN
cuesj-323	73	13	]	]	PUNCT
cuesj-323	73	14	for	for	ADP
cuesj-323	73	15	vrsp	vrsp	NUM
cuesj-323	73	16	by	by	ADP
cuesj-323	73	17	“	"	PUNCT
cuesj-323	73	18	softening	soften	VERB
cuesj-323	73	19	”	"	PUNCT
cuesj-323	73	20	the	the	DET
cuesj-323	73	21	time	time	NOUN
cuesj-323	73	22	window	window	NOUN
cuesj-323	73	23	constraint	constraint	NOUN
cuesj-323	73	24	to	to	PART
cuesj-323	73	25	maximize	maximize	VERB
cuesj-323	73	26	the	the	DET
cuesj-323	73	27	served	serve	VERB
cuesj-323	73	28	customers	customer	NOUN
cuesj-323	73	29	.	.	PUNCT
cuesj-323	74	1	they	they	PRON
cuesj-323	74	2	proposed	propose	VERB
cuesj-323	74	3	iterative	iterative	ADJ
cuesj-323	74	4	neighborhood	neighborhood	NOUN
cuesj-323	74	5	exploration	exploration	NOUN
cuesj-323	74	6	,	,	PUNCT
cuesj-323	74	7	resulting	result	VERB
cuesj-323	74	8	in	in	ADP
cuesj-323	74	9	60	60	NUM
cuesj-323	74	10	%	%	NOUN
cuesj-323	74	11	reduction	reduction	NOUN
cuesj-323	74	12	in	in	ADP
cuesj-323	74	13	orders	order	NOUN
cuesj-323	74	14	cancellation	cancellation	NOUN
cuesj-323	74	15	.	.	PUNCT
cuesj-323	75	1	however	however	ADV
cuesj-323	75	2	,	,	PUNCT
cuesj-323	75	3	the	the	DET
cuesj-323	75	4	problem	problem	NOUN
cuesj-323	75	5	under	under	ADP
cuesj-323	75	6	study	study	NOUN
cuesj-323	75	7	is	be	AUX
cuesj-323	75	8	still	still	ADV
cuesj-323	75	9	limited	limit	VERB
cuesj-323	75	10	to	to	ADP
cuesj-323	75	11	one	one	NUM
cuesj-323	75	12	predetermined	predetermine	VERB
cuesj-323	75	13	breakdown	breakdown	NOUN
cuesj-323	75	14	.	.	PUNCT
cuesj-323	76	1	guedes	guede	NOUN
cuesj-323	76	2	and	and	CCONJ
cuesj-323	76	3	borenstein[24	borenstein[24	NOUN
cuesj-323	76	4	]	]	PUNCT
cuesj-323	76	5	also	also	ADV
cuesj-323	76	6	considered	consider	VERB
cuesj-323	76	7	vrsp	vrsp	PROPN
cuesj-323	76	8	,	,	PUNCT
cuesj-323	76	9	however	however	ADV
cuesj-323	76	10	,	,	PUNCT
cuesj-323	76	11	with	with	ADP
cuesj-323	76	12	multiple	multiple	ADJ
cuesj-323	76	13	depots	depot	NOUN
cuesj-323	76	14	and	and	CCONJ
cuesj-323	76	15	heterogeneous	heterogeneous	ADJ
cuesj-323	76	16	vehicles	vehicle	NOUN
cuesj-323	76	17	aiming	aim	VERB
cuesj-323	76	18	to	to	PART
cuesj-323	76	19	minimize	minimize	VERB
cuesj-323	76	20	travel	travel	NOUN
cuesj-323	76	21	costs	cost	NOUN
cuesj-323	76	22	and	and	CCONJ
cuesj-323	76	23	the	the	DET
cuesj-323	76	24	deviations	deviation	NOUN
cuesj-323	76	25	from	from	ADP
cuesj-323	76	26	the	the	DET
cuesj-323	76	27	original	original	ADJ
cuesj-323	76	28	plan	plan	NOUN
cuesj-323	76	29	due	due	ADP
cuesj-323	76	30	to	to	ADP
cuesj-323	76	31	driver	driver	NOUN
cuesj-323	76	32	’s	’s	PART
cuesj-323	76	33	familiarity	familiarity	NOUN
cuesj-323	76	34	with	with	ADP
cuesj-323	76	35	the	the	DET
cuesj-323	76	36	routes	route	NOUN
cuesj-323	76	37	.	.	PUNCT
cuesj-323	77	1	a	a	DET
cuesj-323	77	2	heuristic	heuristic	ADJ
cuesj-323	77	3	framework	framework	NOUN
cuesj-323	77	4	approach	approach	NOUN
cuesj-323	77	5	has	have	AUX
cuesj-323	77	6	been	be	AUX
cuesj-323	77	7	proposed	propose	VERB
cuesj-323	77	8	with	with	ADP
cuesj-323	77	9	truncated	truncated	ADJ
cuesj-323	77	10	cg	cg	NOUN
cuesj-323	77	11	that	that	PRON
cuesj-323	77	12	does	do	AUX
cuesj-323	77	13	not	not	PART
cuesj-323	77	14	repeatedly	repeatedly	ADV
cuesj-323	77	15	generate	generate	VERB
cuesj-323	77	16	columns	column	NOUN
cuesj-323	77	17	when	when	SCONJ
cuesj-323	77	18	the	the	DET
cuesj-323	77	19	solution	solution	NOUN
cuesj-323	77	20	is	be	AUX
cuesj-323	77	21	not	not	PART
cuesj-323	77	22	improving	improve	VERB
cuesj-323	77	23	.	.	PUNCT
cuesj-323	78	1	the	the	DET
cuesj-323	78	2	approach	approach	NOUN
cuesj-323	78	3	was	be	AUX
cuesj-323	78	4	tested	test	VERB
cuesj-323	78	5	on	on	ADP
cuesj-323	78	6	large	large	ADJ
cuesj-323	78	7	-	-	PUNCT
cuesj-323	78	8	sized	sized	ADJ
cuesj-323	78	9	problems	problem	NOUN
cuesj-323	78	10	(	(	PUNCT
cuesj-323	78	11	up	up	ADP
cuesj-323	78	12	to	to	ADP
cuesj-323	78	13	2500	2500	NUM
cuesj-323	78	14	nodes	node	NOUN
cuesj-323	78	15	)	)	PUNCT
cuesj-323	78	16	then	then	ADV
cuesj-323	78	17	applied	apply	VERB
cuesj-323	78	18	on	on	ADP
cuesj-323	78	19	a	a	DET
cuesj-323	78	20	real	real	ADJ
cuesj-323	78	21	-	-	PUNCT
cuesj-323	78	22	life	life	NOUN
cuesj-323	78	23	bus	bus	NOUN
cuesj-323	78	24	transit	transit	NOUN
cuesj-323	78	25	case	case	NOUN
cuesj-323	78	26	study	study	NOUN
cuesj-323	78	27	and	and	CCONJ
cuesj-323	78	28	produced	produce	VERB
cuesj-323	78	29	a	a	DET
cuesj-323	78	30	good	good	ADJ
cuesj-323	78	31	quality	quality	NOUN
cuesj-323	78	32	solution	solution	NOUN
cuesj-323	78	33	for	for	ADP
cuesj-323	78	34	such	such	DET
cuesj-323	78	35	a	a	DET
cuesj-323	78	36	large	large	ADJ
cuesj-323	78	37	-	-	PUNCT
cuesj-323	78	38	sized	sized	ADJ
cuesj-323	78	39	problem	problem	NOUN
cuesj-323	78	40	in	in	ADP
cuesj-323	78	41	<3	<3	X
cuesj-323	78	42	min	min	NOUN
cuesj-323	78	43	.	.	PROPN
cuesj-323	78	44	on	on	ADP
cuesj-323	78	45	the	the	DET
cuesj-323	78	46	other	other	ADJ
cuesj-323	78	47	hand	hand	NOUN
cuesj-323	78	48	,	,	PUNCT
cuesj-323	78	49	the	the	DET
cuesj-323	78	50	event	event	NOUN
cuesj-323	78	51	of	of	ADP
cuesj-323	78	52	disruption	disruption	NOUN
cuesj-323	78	53	is	be	AUX
cuesj-323	78	54	explicitly	explicitly	ADV
cuesj-323	78	55	specified	specify	VERB
cuesj-323	78	56	at	at	ADP
cuesj-323	78	57	a	a	DET
cuesj-323	78	58	time	time	NOUN
cuesj-323	78	59	of	of	ADP
cuesj-323	78	60	the	the	DET
cuesj-323	78	61	day	day	NOUN
cuesj-323	78	62	.	.	PUNCT
cuesj-323	79	1	the	the	DET
cuesj-323	79	2	disruption	disruption	NOUN
cuesj-323	79	3	affects	affect	VERB
cuesj-323	79	4	up	up	ADV
cuesj-323	79	5	to	to	PART
cuesj-323	79	6	three	three	NUM
cuesj-323	79	7	vehicles	vehicle	NOUN
cuesj-323	79	8	simultaneously	simultaneously	ADV
cuesj-323	79	9	.	.	PUNCT
cuesj-323	80	1	dávid	dávid	PROPN
cuesj-323	80	2	and	and	CCONJ
cuesj-323	80	3	krész[25	krész[25	NOUN
cuesj-323	80	4	]	]	PUNCT
cuesj-323	80	5	were	be	AUX
cuesj-323	80	6	the	the	DET
cuesj-323	80	7	only	only	ADJ
cuesj-323	80	8	authors	author	NOUN
cuesj-323	80	9	to	to	PART
cuesj-323	80	10	consider	consider	VERB
cuesj-323	80	11	the	the	DET
cuesj-323	80	12	vehicles	vehicle	NOUN
cuesj-323	80	13	’	'	PUNCT
cuesj-323	80	14	disruption	disruption	NOUN
cuesj-323	80	15	events	event	NOUN
cuesj-323	80	16	to	to	PART
cuesj-323	80	17	be	be	AUX
cuesj-323	80	18	fully	fully	ADV
cuesj-323	80	19	randomized	randomize	VERB
cuesj-323	80	20	across	across	ADP
cuesj-323	80	21	the	the	DET
cuesj-323	80	22	whole	whole	ADJ
cuesj-323	80	23	period	period	NOUN
cuesj-323	80	24	of	of	ADP
cuesj-323	80	25	the	the	DET
cuesj-323	80	26	modeling	modeling	NOUN
cuesj-323	80	27	,	,	PUNCT
cuesj-323	80	28	making	make	VERB
cuesj-323	80	29	the	the	DET
cuesj-323	80	30	problem	problem	NOUN
cuesj-323	80	31	fully	fully	ADV
cuesj-323	80	32	dynamic	dynamic	ADJ
cuesj-323	80	33	.	.	PUNCT
cuesj-323	81	1	the	the	DET
cuesj-323	81	2	problem	problem	NOUN
cuesj-323	81	3	considered	consider	VERB
cuesj-323	81	4	is	be	AUX
cuesj-323	81	5	a	a	DET
cuesj-323	81	6	scheduling	scheduling	NOUN
cuesj-323	81	7	problem	problem	NOUN
cuesj-323	81	8	(	(	PUNCT
cuesj-323	81	9	dvrsp	dvrsp	NOUN
cuesj-323	81	10	)	)	PUNCT
cuesj-323	81	11	routing	routing	NOUN
cuesj-323	81	12	aiming	aim	VERB
cuesj-323	81	13	to	to	PART
cuesj-323	81	14	minimize	minimize	VERB
cuesj-323	81	15	the	the	DET
cuesj-323	81	16	deviation	deviation	NOUN
cuesj-323	81	17	from	from	ADP
cuesj-323	81	18	the	the	DET
cuesj-323	81	19	original	original	ADJ
cuesj-323	81	20	plan	plan	NOUN
cuesj-323	81	21	.	.	PUNCT
cuesj-323	82	1	they	they	PRON
cuesj-323	82	2	studied	study	VERB
cuesj-323	82	3	two	two	NUM
cuesj-323	82	4	heuristic	heuristic	ADJ
cuesj-323	82	5	approaches	approach	NOUN
cuesj-323	82	6	,	,	PUNCT
cuesj-323	82	7	recursive	recursive	ADJ
cuesj-323	82	8	search	search	NOUN
cuesj-323	82	9	and	and	CCONJ
cuesj-323	82	10	local	local	ADJ
cuesj-323	82	11	search	search	NOUN
cuesj-323	82	12	,	,	PUNCT
cuesj-323	82	13	and	and	CCONJ
cuesj-323	82	14	they	they	PRON
cuesj-323	82	15	both	both	PRON
cuesj-323	82	16	resulted	result	VERB
cuesj-323	82	17	in	in	ADP
cuesj-323	82	18	solutions	solution	NOUN
cuesj-323	82	19	less	less	ADJ
cuesj-323	82	20	than	than	ADP
cuesj-323	82	21	15	15	NUM
cuesj-323	82	22	%	%	NOUN
cuesj-323	82	23	in	in	ADP
cuesj-323	82	24	plan	plan	NOUN
cuesj-323	82	25	deviations	deviation	NOUN
cuesj-323	82	26	.	.	PUNCT
cuesj-323	83	1	although	although	SCONJ
cuesj-323	83	2	the	the	DET
cuesj-323	83	3	problem	problem	NOUN
cuesj-323	83	4	considered	consider	VERB
cuesj-323	83	5	random	random	ADJ
cuesj-323	83	6	vehicles	vehicle	NOUN
cuesj-323	83	7	’	'	PUNCT
cuesj-323	83	8	breakdown	breakdown	NOUN
cuesj-323	83	9	over	over	ADP
cuesj-323	83	10	the	the	DET
cuesj-323	83	11	operating	operating	NOUN
cuesj-323	83	12	time	time	NOUN
cuesj-323	83	13	horizon	horizon	NOUN
cuesj-323	83	14	,	,	PUNCT
cuesj-323	83	15	it	it	PRON
cuesj-323	83	16	is	be	AUX
cuesj-323	83	17	a	a	DET
cuesj-323	83	18	scheduling	scheduling	NOUN
cuesj-323	83	19	problem	problem	NOUN
cuesj-323	83	20	and	and	CCONJ
cuesj-323	83	21	not	not	PART
cuesj-323	83	22	routing	route	VERB
cuesj-323	83	23	.	.	PUNCT
cuesj-323	84	1	based	base	VERB
cuesj-323	84	2	on	on	ADP
cuesj-323	84	3	this	this	DET
cuesj-323	84	4	review	review	NOUN
cuesj-323	84	5	,	,	PUNCT
cuesj-323	84	6	all	all	DET
cuesj-323	84	7	the	the	DET
cuesj-323	84	8	previous	previous	ADJ
cuesj-323	84	9	studies	study	NOUN
cuesj-323	84	10	only	only	ADV
cuesj-323	84	11	consider	consider	VERB
cuesj-323	84	12	1	1	NUM
cuesj-323	84	13	time	time	NOUN
cuesj-323	84	14	rescheduling	reschedule	VERB
cuesj-323	84	15	or	or	CCONJ
cuesj-323	84	16	rerouting	reroute	VERB
cuesj-323	84	17	per	per	ADP
cuesj-323	84	18	problem	problem	NOUN
cuesj-323	84	19	and	and	CCONJ
cuesj-323	84	20	do	do	AUX
cuesj-323	84	21	not	not	PART
cuesj-323	84	22	consider	consider	VERB
cuesj-323	84	23	continuous	continuous	ADJ
cuesj-323	84	24	time	time	NOUN
cuesj-323	84	25	optimization	optimization	NOUN
cuesj-323	84	26	for	for	ADP
cuesj-323	84	27	any	any	DET
cuesj-323	84	28	random	random	ADJ
cuesj-323	84	29	breakdown	breakdown	NOUN
cuesj-323	84	30	instant	instant	NOUN
cuesj-323	84	31	introduced	introduce	VERB
cuesj-323	84	32	to	to	ADP
cuesj-323	84	33	the	the	DET
cuesj-323	84	34	problem	problem	NOUN
cuesj-323	84	35	this	this	DET
cuesj-323	84	36	paper	paper	NOUN
cuesj-323	84	37	addresses	address	NOUN
cuesj-323	84	38	.	.	PUNCT
cuesj-323	85	1	agent	agent	NOUN
cuesj-323	85	2	-	-	PUNCT
cuesj-323	85	3	based	base	VERB
cuesj-323	85	4	in	in	ADP
cuesj-323	85	5	dvrp	dvrp	NOUN
cuesj-323	85	6	most	most	ADJ
cuesj-323	85	7	of	of	ADP
cuesj-323	85	8	the	the	DET
cuesj-323	85	9	tools	tool	NOUN
cuesj-323	85	10	and	and	CCONJ
cuesj-323	85	11	techniques	technique	NOUN
cuesj-323	85	12	used	use	VERB
cuesj-323	85	13	in	in	ADP
cuesj-323	85	14	vrp	vrp	PROPN
cuesj-323	85	15	are	be	AUX
cuesj-323	85	16	adopted	adopt	VERB
cuesj-323	85	17	from	from	ADP
cuesj-323	85	18	the	the	DET
cuesj-323	85	19	traditional	traditional	ADJ
cuesj-323	85	20	or	or	CCONJ
cuesj-323	85	21	techniques	technique	NOUN
cuesj-323	85	22	:	:	PUNCT
cuesj-323	86	1	exact	exact	ADJ
cuesj-323	86	2	,	,	PUNCT
cuesj-323	86	3	heuristics	heuristic	NOUN
cuesj-323	86	4	,	,	PUNCT
cuesj-323	86	5	and	and	CCONJ
cuesj-323	86	6	metaheuristics.[26	metaheuristics.[26	PROPN
cuesj-323	86	7	]	]	PUNCT
cuesj-323	86	8	on	on	ADP
cuesj-323	86	9	the	the	DET
cuesj-323	86	10	other	other	ADJ
cuesj-323	86	11	hand	hand	NOUN
cuesj-323	86	12	,	,	PUNCT
cuesj-323	86	13	fischer	fischer	PROPN
cuesj-323	86	14	et	et	PROPN
cuesj-323	86	15	al.[27	al.[27	PROPN
cuesj-323	86	16	]	]	PUNCT
cuesj-323	86	17	argued	argue	VERB
cuesj-323	86	18	that	that	SCONJ
cuesj-323	86	19	such	such	ADJ
cuesj-323	86	20	static	static	ADJ
cuesj-323	86	21	methods	method	NOUN
cuesj-323	86	22	are	be	AUX
cuesj-323	86	23	not	not	PART
cuesj-323	86	24	suitable	suitable	ADJ
cuesj-323	86	25	to	to	ADP
cuesj-323	86	26	the	the	DET
cuesj-323	86	27	dynamic	dynamic	ADJ
cuesj-323	86	28	problem	problem	NOUN
cuesj-323	86	29	and	and	CCONJ
cuesj-323	86	30	not	not	PART
cuesj-323	86	31	flexibility	flexibility	NOUN
cuesj-323	86	32	adapted	adapt	VERB
cuesj-323	86	33	due	due	ADP
cuesj-323	86	34	to	to	ADP
cuesj-323	86	35	the	the	DET
cuesj-323	86	36	need	need	NOUN
cuesj-323	86	37	to	to	PART
cuesj-323	86	38	react	react	VERB
cuesj-323	86	39	to	to	ADP
cuesj-323	86	40	system	system	NOUN
cuesj-323	86	41	events	event	NOUN
cuesj-323	86	42	while	while	SCONJ
cuesj-323	86	43	running	run	VERB
cuesj-323	86	44	;	;	PUNCT
cuesj-323	86	45	they	they	PRON
cuesj-323	86	46	propose	propose	VERB
cuesj-323	86	47	the	the	DET
cuesj-323	86	48	abm	abm	PROPN
cuesj-323	86	49	to	to	ADP
cuesj-323	86	50	dvrp	dvrp	PROPN
cuesj-323	86	51	.	.	PUNCT
cuesj-323	87	1	mes	me	NOUN
cuesj-323	87	2	et	et	PROPN
cuesj-323	87	3	al.[28	al.[28	PROPN
cuesj-323	87	4	]	]	PUNCT
cuesj-323	87	5	further	far	ADV
cuesj-323	87	6	supported	support	VERB
cuesj-323	87	7	the	the	DET
cuesj-323	87	8	use	use	NOUN
cuesj-323	87	9	of	of	ADP
cuesj-323	87	10	abm	abm	PROPN
cuesj-323	87	11	in	in	ADP
cuesj-323	87	12	dvrp	dvrp	PROPN
cuesj-323	87	13	,	,	PUNCT
cuesj-323	87	14	arguing	argue	VERB
cuesj-323	87	15	that	that	SCONJ
cuesj-323	87	16	the	the	DET
cuesj-323	87	17	traditional	traditional	ADJ
cuesj-323	87	18	or	or	CCONJ
cuesj-323	87	19	techniques	technique	NOUN
cuesj-323	87	20	are	be	AUX
cuesj-323	87	21	sensitive	sensitive	ADJ
cuesj-323	87	22	to	to	ADP
cuesj-323	87	23	newly	newly	ADV
cuesj-323	87	24	emerged	emerge	VERB
cuesj-323	87	25	information	information	NOUN
cuesj-323	87	26	and	and	CCONJ
cuesj-323	87	27	time	time	NOUN
cuesj-323	87	28	consuming	consume	VERB
cuesj-323	87	29	.	.	PUNCT
cuesj-323	88	1	abm	abm	PROPN
cuesj-323	88	2	is	be	AUX
cuesj-323	88	3	a	a	DET
cuesj-323	88	4	powerful	powerful	ADJ
cuesj-323	88	5	tool	tool	NOUN
cuesj-323	88	6	because	because	SCONJ
cuesj-323	88	7	it	it	PRON
cuesj-323	88	8	models	model	VERB
cuesj-323	88	9	the	the	DET
cuesj-323	88	10	entities	entity	NOUN
cuesj-323	88	11	of	of	ADP
cuesj-323	88	12	the	the	DET
cuesj-323	88	13	system	system	NOUN
cuesj-323	88	14	as	as	ADP
cuesj-323	88	15	agents	agent	NOUN
cuesj-323	88	16	that	that	PRON
cuesj-323	88	17	have	have	VERB
cuesj-323	88	18	rational	rational	ADJ
cuesj-323	88	19	sense	sense	NOUN
cuesj-323	88	20	and	and	CCONJ
cuesj-323	88	21	autonomy	autonomy	NOUN
cuesj-323	88	22	for	for	ADP
cuesj-323	88	23	making	make	VERB
cuesj-323	88	24	rulebased	rulebase	VERB
cuesj-323	88	25	decisions.[29	decisions.[29	PROPN
cuesj-323	88	26	]	]	PUNCT
cuesj-323	89	1	abm	abm	PROPN
cuesj-323	89	2	has	have	AUX
cuesj-323	89	3	been	be	AUX
cuesj-323	89	4	applied	apply	VERB
cuesj-323	89	5	previously	previously	ADV
cuesj-323	89	6	in	in	ADP
cuesj-323	89	7	dvrp	dvrp	PROPN
cuesj-323	89	8	.	.	PUNCT
cuesj-323	90	1	kuhn	kuhn	PROPN
cuesj-323	90	2	et	et	PROPN
cuesj-323	90	3	al.[30	al.[30	PROPN
cuesj-323	90	4	]	]	PUNCT
cuesj-323	90	5	were	be	AUX
cuesj-323	90	6	the	the	DET
cuesj-323	90	7	first	first	ADJ
cuesj-323	90	8	to	to	PART
cuesj-323	90	9	adopt	adopt	VERB
cuesj-323	90	10	such	such	DET
cuesj-323	90	11	an	an	DET
cuesj-323	90	12	approach	approach	NOUN
cuesj-323	90	13	in	in	ADP
cuesj-323	90	14	this	this	DET
cuesj-323	90	15	problem	problem	NOUN
cuesj-323	90	16	context	context	NOUN
cuesj-323	90	17	with	with	ADP
cuesj-323	90	18	agents	agent	NOUN
cuesj-323	90	19	of	of	ADP
cuesj-323	90	20	orders	order	NOUN
cuesj-323	90	21	and	and	CCONJ
cuesj-323	90	22	trucks	truck	NOUN
cuesj-323	90	23	governed	govern	VERB
cuesj-323	90	24	by	by	ADP
cuesj-323	90	25	a	a	DET
cuesj-323	90	26	bidding	bidding	NOUN
cuesj-323	90	27	rule	rule	NOUN
cuesj-323	90	28	.	.	PUNCT
cuesj-323	91	1	their	their	PRON
cuesj-323	91	2	work	work	NOUN
cuesj-323	91	3	has	have	AUX
cuesj-323	91	4	been	be	AUX
cuesj-323	91	5	taken	take	VERB
cuesj-323	91	6	further	far	ADV
cuesj-323	91	7	by	by	ADP
cuesj-323	91	8	different	different	ADJ
cuesj-323	91	9	authors	author	NOUN
cuesj-323	91	10	.	.	PUNCT
cuesj-323	92	1	fischer	fischer	PROPN
cuesj-323	92	2	et	et	PROPN
cuesj-323	92	3	al.[27	al.[27	PROPN
cuesj-323	92	4	]	]	PUNCT
cuesj-323	92	5	introduced	introduce	VERB
cuesj-323	92	6	cooperation	cooperation	NOUN
cuesj-323	92	7	rule	rule	NOUN
cuesj-323	92	8	across	across	ADP
cuesj-323	92	9	companies	company	NOUN
cuesj-323	92	10	(	(	PUNCT
cuesj-323	92	11	depots	depot	NOUN
cuesj-323	92	12	)	)	PUNCT
cuesj-323	92	13	for	for	ADP
cuesj-323	92	14	order	order	NOUN
cuesj-323	92	15	and	and	CCONJ
cuesj-323	92	16	capacity	capacity	NOUN
cuesj-323	92	17	sharing	sharing	NOUN
cuesj-323	92	18	.	.	PUNCT
cuesj-323	93	1	kohout	kohout	PROPN
cuesj-323	93	2	and	and	CCONJ
cuesj-323	93	3	erol[31	erol[31	NOUN
cuesj-323	93	4	]	]	PUNCT
cuesj-323	93	5	added	add	VERB
cuesj-323	93	6	a	a	DET
cuesj-323	93	7	verifier	verifier	NOUN
cuesj-323	93	8	agent	agent	NOUN
cuesj-323	93	9	and	and	CCONJ
cuesj-323	93	10	adopted	adopt	VERB
cuesj-323	93	11	solomon	solomon	PROPN
cuesj-323	93	12	’s	’s	PART
cuesj-323	93	13	insertion	insertion	NOUN
cuesj-323	93	14	heuristic	heuristic	NOUN
cuesj-323	93	15	and	and	CCONJ
cuesj-323	93	16	bidding	bidding	NOUN
cuesj-323	93	17	rule	rule	NOUN
cuesj-323	93	18	.	.	PUNCT
cuesj-323	94	1	zeddini	zeddini	X
cuesj-323	94	2	et	et	PROPN
cuesj-323	94	3	al.[32	al.[32	PROPN
cuesj-323	94	4	]	]	PUNCT
cuesj-323	94	5	adopted	adopt	VERB
cuesj-323	94	6	a	a	DET
cuesj-323	94	7	continuous	continuous	ADJ
cuesj-323	94	8	optimization	optimization	NOUN
cuesj-323	94	9	strategy	strategy	NOUN
cuesj-323	94	10	in	in	ADP
cuesj-323	94	11	which	which	PRON
cuesj-323	94	12	the	the	DET
cuesj-323	94	13	model	model	NOUN
cuesj-323	94	14	reacts	react	VERB
cuesj-323	94	15	instantly	instantly	ADV
cuesj-323	94	16	when	when	SCONJ
cuesj-323	94	17	a	a	DET
cuesj-323	94	18	dynamic	dynamic	ADJ
cuesj-323	94	19	event	event	NOUN
cuesj-323	94	20	occurs	occur	VERB
cuesj-323	94	21	.	.	PUNCT
cuesj-323	95	1	mes	me	NOUN
cuesj-323	95	2	et	et	PROPN
cuesj-323	95	3	al.[28	al.[28	PROPN
cuesj-323	95	4	]	]	PUNCT
cuesj-323	95	5	adopted	adopt	VERB
cuesj-323	95	6	a	a	DET
cuesj-323	95	7	more	more	ADV
cuesj-323	95	8	decentralized	decentralize	VERB
cuesj-323	95	9	approach	approach	NOUN
cuesj-323	95	10	by	by	ADP
cuesj-323	95	11	involving	involve	VERB
cuesj-323	95	12	companies	company	NOUN
cuesj-323	95	13	(	(	PUNCT
cuesj-323	95	14	depots	depot	NOUN
cuesj-323	95	15	)	)	PUNCT
cuesj-323	95	16	less	less	ADV
cuesj-323	95	17	in	in	ADP
cuesj-323	95	18	the	the	DET
cuesj-323	95	19	bidding	bidding	NOUN
cuesj-323	95	20	process	process	NOUN
cuesj-323	95	21	or	or	CCONJ
cuesj-323	95	22	rule	rule	NOUN
cuesj-323	95	23	.	.	PUNCT
cuesj-323	96	1	barbucha	barbucha	PROPN
cuesj-323	96	2	and	and	CCONJ
cuesj-323	96	3	jȩdrzejowicz[33,34	jȩdrzejowicz[33,34	PROPN
cuesj-323	96	4	]	]	PUNCT
cuesj-323	96	5	developed	develop	VERB
cuesj-323	96	6	an	an	DET
cuesj-323	96	7	agent	agent	NOUN
cuesj-323	96	8	architecture	architecture	NOUN
cuesj-323	96	9	that	that	PRON
cuesj-323	96	10	has	have	VERB
cuesj-323	96	11	a	a	DET
cuesj-323	96	12	solution	solution	NOUN
cuesj-323	96	13	manager	manager	NOUN
cuesj-323	96	14	as	as	ADP
cuesj-323	96	15	an	an	DET
cuesj-323	96	16	agent	agent	NOUN
cuesj-323	96	17	and	and	CCONJ
cuesj-323	96	18	adopted	adopt	VERB
cuesj-323	96	19	a	a	DET
cuesj-323	96	20	heuristic	heuristic	ADJ
cuesj-323	96	21	approach	approach	NOUN
cuesj-323	96	22	for	for	ADP
cuesj-323	96	23	optimization	optimization	NOUN
cuesj-323	96	24	,	,	PUNCT
cuesj-323	96	25	moreover	moreover	ADV
cuesj-323	96	26	,	,	PUNCT
cuesj-323	96	27	in	in	ADP
cuesj-323	96	28	their	their	PRON
cuesj-323	96	29	later	late	ADJ
cuesj-323	96	30	work	work	NOUN
cuesj-323	96	31	barbucha[35	barbucha[35	PRON
cuesj-323	96	32	]	]	PUNCT
cuesj-323	96	33	and	and	CCONJ
cuesj-323	96	34	barbucha,[36	barbucha,[36	NUM
cuesj-323	96	35	]	]	PUNCT
cuesj-323	96	36	they	they	PRON
cuesj-323	96	37	adopted	adopt	VERB
cuesj-323	96	38	meta	meta	ADJ
cuesj-323	96	39	-	-	PUNCT
cuesj-323	96	40	heuristics	heuristic	NOUN
cuesj-323	96	41	along	along	ADV
cuesj-323	96	42	with	with	ADP
cuesj-323	96	43	abm	abm	PROPN
cuesj-323	96	44	.	.	PUNCT
cuesj-323	97	1	barbucha[37	barbucha[37	PROPN
cuesj-323	97	2	]	]	PUNCT
cuesj-323	97	3	proposed	propose	VERB
cuesj-323	97	4	a	a	DET
cuesj-323	97	5	multiagent	multiagent	NOUN
cuesj-323	97	6	system	system	NOUN
cuesj-323	97	7	for	for	ADP
cuesj-323	97	8	dvrp	dvrp	PROPN
cuesj-323	97	9	abu	abu	PROPN
cuesj-323	97	10	-	-	PUNCT
cuesj-323	97	11	monshar	monshar	PROPN
cuesj-323	97	12	,	,	PUNCT
cuesj-323	97	13	et	et	PROPN
cuesj-323	97	14	al	al	PROPN
cuesj-323	97	15	.	.	PROPN
cuesj-323	97	16	:	:	PUNCT
cuesj-323	97	17	vehicle	vehicle	NOUN
cuesj-323	97	18	breakdown	breakdown	NOUN
cuesj-323	97	19	in	in	ADP
cuesj-323	97	20	dvrp	dvrp	PROPN
cuesj-323	97	21	4	4	NUM
cuesj-323	97	22	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	97	23	cuesj	cuesj	ADJ
cuesj-323	97	24	2021	2021	NUM
cuesj-323	97	25	,	,	PUNCT
cuesj-323	97	26	5	5	NUM
cuesj-323	97	27	(	(	PUNCT
cuesj-323	97	28	1	1	NUM
cuesj-323	97	29	):	):	PUNCT
cuesj-323	97	30	1	1	NUM
cuesj-323	97	31	-	-	SYM
cuesj-323	97	32	10	10	NUM
cuesj-323	97	33	with	with	ADP
cuesj-323	97	34	a	a	DET
cuesj-323	97	35	meta	meta	ADJ
cuesj-323	97	36	-	-	PUNCT
cuesj-323	97	37	heuristic	heuristic	ADJ
cuesj-323	97	38	improvement	improvement	NOUN
cuesj-323	97	39	approach	approach	NOUN
cuesj-323	97	40	of	of	ADP
cuesj-323	97	41	guided	guide	VERB
cuesj-323	97	42	local	local	ADJ
cuesj-323	97	43	search	search	NOUN
cuesj-323	97	44	.	.	PUNCT
cuesj-323	98	1	vokřínek	vokřínek	PROPN
cuesj-323	98	2	et	et	PROPN
cuesj-323	98	3	al.[38	al.[38	PROPN
cuesj-323	98	4	]	]	PUNCT
cuesj-323	98	5	applied	apply	VERB
cuesj-323	98	6	prioritizing	prioritize	VERB
cuesj-323	98	7	rules	rule	NOUN
cuesj-323	98	8	on	on	ADP
cuesj-323	98	9	the	the	DET
cuesj-323	98	10	arrived	arrive	VERB
cuesj-323	98	11	customer	customer	NOUN
cuesj-323	98	12	orders	order	NOUN
cuesj-323	98	13	considering	consider	VERB
cuesj-323	98	14	the	the	DET
cuesj-323	98	15	capacity	capacity	NOUN
cuesj-323	98	16	constraint	constraint	NOUN
cuesj-323	98	17	,	,	PUNCT
cuesj-323	98	18	while	while	SCONJ
cuesj-323	98	19	in	in	ADP
cuesj-323	98	20	a	a	DET
cuesj-323	98	21	later	later	ADJ
cuesj-323	98	22	work,[39	work,[39	NUM
cuesj-323	98	23	]	]	PUNCT
cuesj-323	98	24	rule	rule	NOUN
cuesj-323	98	25	based	base	VERB
cuesj-323	98	26	on	on	ADP
cuesj-323	98	27	time	time	NOUN
cuesj-323	98	28	window	window	NOUN
cuesj-323	98	29	has	have	AUX
cuesj-323	98	30	been	be	AUX
cuesj-323	98	31	applied	apply	VERB
cuesj-323	98	32	.	.	PUNCT
cuesj-323	99	1	maciejewski	maciejewski	PROPN
cuesj-323	99	2	and	and	CCONJ
cuesj-323	99	3	nagel[40	nagel[40	PROPN
cuesj-323	99	4	]	]	PUNCT
cuesj-323	99	5	adopted	adopt	VERB
cuesj-323	99	6	a	a	DET
cuesj-323	99	7	more	more	ADV
cuesj-323	99	8	centralized	centralized	ADJ
cuesj-323	99	9	abm	abm	PROPN
cuesj-323	99	10	approach	approach	NOUN
cuesj-323	99	11	where	where	SCONJ
cuesj-323	99	12	routing	routing	NOUN
cuesj-323	99	13	is	be	AUX
cuesj-323	99	14	optimized	optimize	VERB
cuesj-323	99	15	centrally	centrally	ADV
cuesj-323	99	16	by	by	ADP
cuesj-323	99	17	an	an	DET
cuesj-323	99	18	optimizer	optimizer	NOUN
cuesj-323	99	19	agent	agent	NOUN
cuesj-323	99	20	.	.	PUNCT
cuesj-323	100	1	gath	gath	PROPN
cuesj-323	100	2	et	et	PROPN
cuesj-323	100	3	al.[41	al.[41	PROPN
cuesj-323	100	4	]	]	PUNCT
cuesj-323	100	5	involved	involve	VERB
cuesj-323	100	6	depth	depth	NOUN
cuesj-323	100	7	-	-	PUNCT
cuesj-323	100	8	first	first	ADJ
cuesj-323	100	9	branchand	branchand	NOUN
cuesj-323	100	10	-	-	PUNCT
cuesj-323	100	11	bound	bind	VERB
cuesj-323	100	12	method	method	NOUN
cuesj-323	100	13	within	within	ADP
cuesj-323	100	14	each	each	DET
cuesj-323	100	15	vehicle	vehicle	NOUN
cuesj-323	100	16	agent	agent	NOUN
cuesj-323	100	17	as	as	ADP
cuesj-323	100	18	a	a	DET
cuesj-323	100	19	tsp	tsp	NOUN
cuesj-323	100	20	for	for	ADP
cuesj-323	100	21	bid	bid	NOUN
cuesj-323	100	22	calculation	calculation	NOUN
cuesj-323	100	23	.	.	PUNCT
cuesj-323	101	1	finally	finally	ADV
cuesj-323	101	2	,	,	PUNCT
cuesj-323	101	3	nambiar	nambiar	ADJ
cuesj-323	101	4	and	and	CCONJ
cuesj-323	101	5	indicula[42	indicula[42	PRON
cuesj-323	101	6	]	]	PUNCT
cuesj-323	101	7	proposed	propose	VERB
cuesj-323	101	8	a	a	DET
cuesj-323	101	9	different	different	ADJ
cuesj-323	101	10	architecture	architecture	NOUN
cuesj-323	101	11	of	of	ADP
cuesj-323	101	12	agents	agent	NOUN
cuesj-323	101	13	;	;	PUNCT
cuesj-323	101	14	data	datum	NOUN
cuesj-323	101	15	agent	agent	NOUN
cuesj-323	101	16	that	that	PRON
cuesj-323	101	17	deals	deal	VERB
cuesj-323	101	18	with	with	ADP
cuesj-323	101	19	information	information	NOUN
cuesj-323	101	20	update	update	NOUN
cuesj-323	101	21	in	in	ADP
cuesj-323	101	22	the	the	DET
cuesj-323	101	23	system	system	NOUN
cuesj-323	101	24	,	,	PUNCT
cuesj-323	101	25	control	control	NOUN
cuesj-323	101	26	agent	agent	NOUN
cuesj-323	101	27	who	who	PRON
cuesj-323	101	28	deals	deal	VERB
cuesj-323	101	29	with	with	ADP
cuesj-323	101	30	the	the	DET
cuesj-323	101	31	optimization	optimization	NOUN
cuesj-323	101	32	using	use	VERB
cuesj-323	101	33	both	both	CCONJ
cuesj-323	101	34	k	k	NOUN
cuesj-323	101	35	-	-	PUNCT
cuesj-323	101	36	means	mean	VERB
cuesj-323	101	37	clustering	clustering	NOUN
cuesj-323	101	38	and	and	CCONJ
cuesj-323	101	39	ant	ant	ADJ
cuesj-323	101	40	colony	colony	NOUN
cuesj-323	101	41	optimization	optimization	NOUN
cuesj-323	101	42	,	,	PUNCT
cuesj-323	101	43	in	in	ADP
cuesj-323	101	44	addition	addition	NOUN
cuesj-323	101	45	to	to	ADP
cuesj-323	101	46	the	the	DET
cuesj-323	101	47	vehicle	vehicle	NOUN
cuesj-323	101	48	agents	agent	NOUN
cuesj-323	101	49	that	that	PRON
cuesj-323	101	50	execute	execute	VERB
cuesj-323	101	51	routes	route	NOUN
cuesj-323	101	52	.	.	PUNCT
cuesj-323	102	1	all	all	PRON
cuesj-323	102	2	of	of	ADP
cuesj-323	102	3	the	the	DET
cuesj-323	102	4	abm	abm	PROPN
cuesj-323	102	5	approaches	approach	NOUN
cuesj-323	102	6	proposed	propose	VERB
cuesj-323	102	7	for	for	ADP
cuesj-323	102	8	dvrp	dvrp	PROPN
cuesj-323	102	9	previously	previously	ADV
cuesj-323	102	10	are	be	AUX
cuesj-323	102	11	limited	limit	VERB
cuesj-323	102	12	to	to	ADP
cuesj-323	102	13	orders	order	NOUN
cuesj-323	102	14	as	as	ADP
cuesj-323	102	15	the	the	DET
cuesj-323	102	16	only	only	ADJ
cuesj-323	102	17	source	source	NOUN
cuesj-323	102	18	of	of	ADP
cuesj-323	102	19	dynamism	dynamism	NOUN
cuesj-323	102	20	in	in	ADP
cuesj-323	102	21	the	the	DET
cuesj-323	102	22	system	system	NOUN
cuesj-323	102	23	.	.	PUNCT
cuesj-323	103	1	no	no	DET
cuesj-323	103	2	one	one	NOUN
cuesj-323	103	3	has	have	AUX
cuesj-323	103	4	adopted	adopt	VERB
cuesj-323	103	5	the	the	DET
cuesj-323	103	6	approach	approach	NOUN
cuesj-323	103	7	in	in	ADP
cuesj-323	103	8	a	a	DET
cuesj-323	103	9	dynamic	dynamic	ADJ
cuesj-323	103	10	vehicle	vehicle	NOUN
cuesj-323	103	11	disruption	disruption	NOUN
cuesj-323	103	12	context	context	NOUN
cuesj-323	103	13	.	.	PUNCT
cuesj-323	104	1	multilayered	multilayere	VERB
cuesj-323	104	2	agent	agent	NOUN
cuesj-323	104	3	-	-	PUNCT
cuesj-323	104	4	based	base	VERB
cuesj-323	104	5	heuristic	heuristic	ADJ
cuesj-323	104	6	system	system	NOUN
cuesj-323	104	7	this	this	DET
cuesj-323	104	8	section	section	NOUN
cuesj-323	104	9	explains	explain	VERB
cuesj-323	104	10	the	the	DET
cuesj-323	104	11	proposed	propose	VERB
cuesj-323	104	12	methodology	methodology	NOUN
cuesj-323	104	13	to	to	PART
cuesj-323	104	14	solve	solve	VERB
cuesj-323	104	15	the	the	DET
cuesj-323	104	16	dvrp	dvrp	NOUN
cuesj-323	104	17	under	under	ADP
cuesj-323	104	18	vehicle	vehicle	NOUN
cuesj-323	104	19	disruption	disruption	NOUN
cuesj-323	104	20	.	.	PUNCT
cuesj-323	105	1	the	the	DET
cuesj-323	105	2	main	main	ADJ
cuesj-323	105	3	challenge	challenge	NOUN
cuesj-323	105	4	here	here	ADV
cuesj-323	105	5	is	be	AUX
cuesj-323	105	6	how	how	SCONJ
cuesj-323	105	7	to	to	PART
cuesj-323	105	8	deal	deal	VERB
cuesj-323	105	9	with	with	ADP
cuesj-323	105	10	such	such	ADJ
cuesj-323	105	11	disruptions	disruption	NOUN
cuesj-323	105	12	and	and	CCONJ
cuesj-323	105	13	is	be	AUX
cuesj-323	105	14	addressed	address	VERB
cuesj-323	105	15	by	by	ADP
cuesj-323	105	16	developing	develop	VERB
cuesj-323	105	17	a	a	DET
cuesj-323	105	18	modeling	modeling	NOUN
cuesj-323	105	19	framework	framework	NOUN
cuesj-323	105	20	that	that	PRON
cuesj-323	105	21	is	be	AUX
cuesj-323	105	22	flexible	flexible	ADJ
cuesj-323	105	23	enough	enough	ADV
cuesj-323	105	24	to	to	PART
cuesj-323	105	25	accommodate	accommodate	VERB
cuesj-323	105	26	the	the	DET
cuesj-323	105	27	resource	resource	NOUN
cuesj-323	105	28	changes	change	NOUN
cuesj-323	105	29	.	.	PUNCT
cuesj-323	106	1	input	input	NOUN
cuesj-323	106	2	-	-	PUNCT
cuesj-323	106	3	process	process	NOUN
cuesj-323	106	4	-	-	PUNCT
cuesj-323	106	5	output	output	NOUN
cuesj-323	106	6	(	(	PUNCT
cuesj-323	106	7	ipo	ipo	NOUN
cuesj-323	106	8	)	)	PUNCT
cuesj-323	106	9	before	before	ADP
cuesj-323	106	10	developing	develop	VERB
cuesj-323	106	11	the	the	DET
cuesj-323	106	12	framework	framework	NOUN
cuesj-323	106	13	,	,	PUNCT
cuesj-323	106	14	an	an	DET
cuesj-323	106	15	ipo	ipo	NOUN
cuesj-323	106	16	model	model	NOUN
cuesj-323	106	17	has	have	AUX
cuesj-323	106	18	been	be	AUX
cuesj-323	106	19	adopted	adopt	VERB
cuesj-323	106	20	to	to	PART
cuesj-323	106	21	define	define	VERB
cuesj-323	106	22	the	the	DET
cuesj-323	106	23	scope	scope	NOUN
cuesj-323	106	24	of	of	ADP
cuesj-323	106	25	the	the	DET
cuesj-323	106	26	model	model	NOUN
cuesj-323	106	27	first	first	ADV
cuesj-323	106	28	.	.	PUNCT
cuesj-323	107	1	the	the	DET
cuesj-323	107	2	ipo	ipo	NOUN
cuesj-323	107	3	is	be	AUX
cuesj-323	107	4	mainly	mainly	ADV
cuesj-323	107	5	concerned	concerned	ADJ
cuesj-323	107	6	about	about	ADP
cuesj-323	107	7	the	the	DET
cuesj-323	107	8	given	give	VERB
cuesj-323	107	9	problem	problem	NOUN
cuesj-323	107	10	inputs	input	NOUN
cuesj-323	107	11	and	and	CCONJ
cuesj-323	107	12	the	the	DET
cuesj-323	107	13	type	type	NOUN
cuesj-323	107	14	of	of	ADP
cuesj-323	107	15	process	process	NOUN
cuesj-323	107	16	performance	performance	NOUN
cuesj-323	107	17	indicators	indicator	NOUN
cuesj-323	107	18	represented	represent	VERB
cuesj-323	107	19	in	in	ADP
cuesj-323	107	20	the	the	DET
cuesj-323	107	21	output	output	NOUN
cuesj-323	107	22	.	.	PUNCT
cuesj-323	108	1	figure	figure	NOUN
cuesj-323	108	2	2	2	NUM
cuesj-323	108	3	provides	provide	VERB
cuesj-323	108	4	a	a	DET
cuesj-323	108	5	general	general	ADJ
cuesj-323	108	6	overview	overview	NOUN
cuesj-323	108	7	of	of	ADP
cuesj-323	108	8	such	such	ADJ
cuesj-323	108	9	ipo	ipo	NOUN
cuesj-323	108	10	considering	consider	VERB
cuesj-323	108	11	the	the	DET
cuesj-323	108	12	two	two	NUM
cuesj-323	108	13	-	-	PUNCT
cuesj-323	108	14	layered	layer	VERB
cuesj-323	108	15	abm	abm	NOUN
cuesj-323	108	16	that	that	PRON
cuesj-323	108	17	will	will	AUX
cuesj-323	108	18	be	be	AUX
cuesj-323	108	19	explained	explain	VERB
cuesj-323	108	20	in	in	ADP
cuesj-323	108	21	the	the	DET
cuesj-323	108	22	following	follow	VERB
cuesj-323	108	23	subsection	subsection	NOUN
cuesj-323	108	24	.	.	PUNCT
cuesj-323	109	1	agent	agent	NOUN
cuesj-323	109	2	input	input	NOUN
cuesj-323	109	3	data	datum	NOUN
cuesj-323	109	4	will	will	AUX
cuesj-323	109	5	be	be	AUX
cuesj-323	109	6	provided	provide	VERB
cuesj-323	109	7	from	from	ADP
cuesj-323	109	8	the	the	DET
cuesj-323	109	9	inputs	input	NOUN
cuesj-323	109	10	to	to	PART
cuesj-323	109	11	determine	determine	VERB
cuesj-323	109	12	each	each	DET
cuesj-323	109	13	agent	agent	NOUN
cuesj-323	109	14	’s	’s	PART
cuesj-323	109	15	unique	unique	ADJ
cuesj-323	109	16	attributes	attribute	NOUN
cuesj-323	109	17	.	.	PUNCT
cuesj-323	110	1	first	first	ADV
cuesj-323	110	2	,	,	PUNCT
cuesj-323	110	3	order	order	NOUN
cuesj-323	110	4	agents	agent	NOUN
cuesj-323	110	5	will	will	AUX
cuesj-323	110	6	have	have	VERB
cuesj-323	110	7	a	a	DET
cuesj-323	110	8	demanded	demand	VERB
cuesj-323	110	9	quantity	quantity	NOUN
cuesj-323	110	10	,	,	PUNCT
cuesj-323	110	11	location	location	NOUN
cuesj-323	110	12	,	,	PUNCT
cuesj-323	110	13	time	time	NOUN
cuesj-323	110	14	window	window	NOUN
cuesj-323	110	15	,	,	PUNCT
cuesj-323	110	16	and	and	CCONJ
cuesj-323	110	17	servicing	servicing	NOUN
cuesj-323	110	18	time	time	NOUN
cuesj-323	110	19	and	and	CCONJ
cuesj-323	110	20	type	type	NOUN
cuesj-323	110	21	(	(	PUNCT
cuesj-323	110	22	collection	collection	NOUN
cuesj-323	110	23	/	/	SYM
cuesj-323	110	24	delivery	delivery	NOUN
cuesj-323	110	25	)	)	PUNCT
cuesj-323	110	26	.	.	PUNCT
cuesj-323	111	1	second	second	ADJ
cuesj-323	111	2	,	,	PUNCT
cuesj-323	111	3	vehicle	vehicle	NOUN
cuesj-323	111	4	agents	agent	NOUN
cuesj-323	111	5	will	will	AUX
cuesj-323	111	6	have	have	VERB
cuesj-323	111	7	a	a	DET
cuesj-323	111	8	specific	specific	ADJ
cuesj-323	111	9	type	type	NOUN
cuesj-323	111	10	,	,	PUNCT
cuesj-323	111	11	constrained	constrained	ADJ
cuesj-323	111	12	capacity	capacity	NOUN
cuesj-323	111	13	,	,	PUNCT
cuesj-323	111	14	home	home	NOUN
cuesj-323	111	15	depot	depot	NOUN
cuesj-323	111	16	location	location	NOUN
cuesj-323	111	17	,	,	PUNCT
cuesj-323	111	18	and	and	CCONJ
cuesj-323	111	19	availability	availability	NOUN
cuesj-323	111	20	from	from	ADP
cuesj-323	111	21	the	the	DET
cuesj-323	111	22	operating	operate	VERB
cuesj-323	111	23	shifts	shift	NOUN
cuesj-323	111	24	.	.	PUNCT
cuesj-323	112	1	finally	finally	ADV
cuesj-323	112	2	,	,	PUNCT
cuesj-323	112	3	drivers	driver	NOUN
cuesj-323	112	4	have	have	VERB
cuesj-323	112	5	a	a	DET
cuesj-323	112	6	specific	specific	ADJ
cuesj-323	112	7	skill	skill	NOUN
cuesj-323	112	8	that	that	PRON
cuesj-323	112	9	dictates	dictate	VERB
cuesj-323	112	10	which	which	DET
cuesj-323	112	11	type	type	NOUN
cuesj-323	112	12	of	of	ADP
cuesj-323	112	13	vehicle	vehicle	NOUN
cuesj-323	112	14	to	to	PART
cuesj-323	112	15	drive	drive	VERB
cuesj-323	112	16	,	,	PUNCT
cuesj-323	112	17	home	home	NOUN
cuesj-323	112	18	location	location	NOUN
cuesj-323	112	19	,	,	PUNCT
cuesj-323	112	20	availability	availability	NOUN
cuesj-323	112	21	,	,	PUNCT
cuesj-323	112	22	and	and	CCONJ
cuesj-323	112	23	previous	previous	ADJ
cuesj-323	112	24	experience	experience	NOUN
cuesj-323	112	25	.	.	PUNCT
cuesj-323	113	1	each	each	DET
cuesj-323	113	2	agent	agent	NOUN
cuesj-323	113	3	has	have	VERB
cuesj-323	113	4	a	a	DET
cuesj-323	113	5	unique	unique	ADJ
cuesj-323	113	6	i	i	PRON
cuesj-323	113	7	d.	d.	NOUN
cuesj-323	113	8	the	the	DET
cuesj-323	113	9	inputs	input	NOUN
cuesj-323	113	10	will	will	AUX
cuesj-323	113	11	be	be	AUX
cuesj-323	113	12	fed	feed	VERB
cuesj-323	113	13	first	first	ADV
cuesj-323	113	14	to	to	ADP
cuesj-323	113	15	the	the	DET
cuesj-323	113	16	first	first	ADJ
cuesj-323	113	17	agent	agent	NOUN
cuesj-323	113	18	-	-	PUNCT
cuesj-323	113	19	based	base	VERB
cuesj-323	113	20	layer	layer	NOUN
cuesj-323	113	21	where	where	SCONJ
cuesj-323	113	22	a	a	DET
cuesj-323	113	23	representative	representative	ADJ
cuesj-323	113	24	agent	agent	NOUN
cuesj-323	113	25	instance	instance	NOUN
cuesj-323	113	26	of	of	ADP
cuesj-323	113	27	each	each	DET
cuesj-323	113	28	order	order	NOUN
cuesj-323	113	29	,	,	PUNCT
cuesj-323	113	30	vehicle	vehicle	NOUN
cuesj-323	113	31	and	and	CCONJ
cuesj-323	113	32	driver	driver	NOUN
cuesj-323	113	33	will	will	AUX
cuesj-323	113	34	be	be	AUX
cuesj-323	113	35	initiated	initiate	VERB
cuesj-323	113	36	,	,	PUNCT
cuesj-323	113	37	then	then	ADV
cuesj-323	113	38	a	a	DET
cuesj-323	113	39	set	set	NOUN
cuesj-323	113	40	of	of	ADP
cuesj-323	113	41	rules	rule	NOUN
cuesj-323	113	42	will	will	AUX
cuesj-323	113	43	govern	govern	VERB
cuesj-323	113	44	how	how	SCONJ
cuesj-323	113	45	drivers	driver	NOUN
cuesj-323	113	46	will	will	AUX
cuesj-323	113	47	be	be	AUX
cuesj-323	113	48	assigned	assign	VERB
cuesj-323	113	49	to	to	ADP
cuesj-323	113	50	the	the	DET
cuesj-323	113	51	vehicle	vehicle	NOUN
cuesj-323	113	52	,	,	PUNCT
cuesj-323	113	53	and	and	CCONJ
cuesj-323	113	54	another	another	DET
cuesj-323	113	55	set	set	NOUN
cuesj-323	113	56	of	of	ADP
cuesj-323	113	57	rules	rule	NOUN
cuesj-323	113	58	will	will	AUX
cuesj-323	113	59	dictate	dictate	VERB
cuesj-323	113	60	how	how	SCONJ
cuesj-323	113	61	orders	order	NOUN
cuesj-323	113	62	will	will	AUX
cuesj-323	113	63	be	be	AUX
cuesj-323	113	64	allocated	allocate	VERB
cuesj-323	113	65	to	to	ADP
cuesj-323	113	66	the	the	DET
cuesj-323	113	67	previously	previously	ADV
cuesj-323	113	68	assigned	assign	VERB
cuesj-323	113	69	vehicles	vehicle	NOUN
cuesj-323	113	70	and	and	CCONJ
cuesj-323	113	71	drivers	driver	NOUN
cuesj-323	113	72	.	.	PUNCT
cuesj-323	114	1	such	such	ADJ
cuesj-323	114	2	rules	rule	NOUN
cuesj-323	114	3	will	will	AUX
cuesj-323	114	4	be	be	AUX
cuesj-323	114	5	explained	explain	VERB
cuesj-323	114	6	later	later	ADV
cuesj-323	114	7	in	in	ADP
cuesj-323	114	8	this	this	DET
cuesj-323	114	9	paper	paper	NOUN
cuesj-323	114	10	.	.	PUNCT
cuesj-323	115	1	this	this	DET
cuesj-323	115	2	layer	layer	NOUN
cuesj-323	115	3	will	will	AUX
cuesj-323	115	4	result	result	VERB
cuesj-323	115	5	in	in	ADP
cuesj-323	115	6	clusters	cluster	NOUN
cuesj-323	115	7	;	;	PUNCT
cuesj-323	115	8	each	each	PRON
cuesj-323	115	9	consists	consist	VERB
cuesj-323	115	10	of	of	ADP
cuesj-323	115	11	orders	order	NOUN
cuesj-323	115	12	with	with	ADP
cuesj-323	115	13	one	one	NUM
cuesj-323	115	14	driver	driver	NOUN
cuesj-323	115	15	and	and	CCONJ
cuesj-323	115	16	one	one	NUM
cuesj-323	115	17	vehicle	vehicle	NOUN
cuesj-323	115	18	.	.	PUNCT
cuesj-323	116	1	clusters	cluster	NOUN
cuesj-323	116	2	data	datum	NOUN
cuesj-323	116	3	resulting	result	VERB
cuesj-323	116	4	from	from	ADP
cuesj-323	116	5	the	the	DET
cuesj-323	116	6	first	first	ADJ
cuesj-323	116	7	layer	layer	NOUN
cuesj-323	116	8	will	will	AUX
cuesj-323	116	9	be	be	AUX
cuesj-323	116	10	used	use	VERB
cuesj-323	116	11	to	to	PART
cuesj-323	116	12	initiate	initiate	VERB
cuesj-323	116	13	cluster	cluster	NOUN
cuesj-323	116	14	agents	agent	NOUN
cuesj-323	116	15	in	in	ADP
cuesj-323	116	16	the	the	DET
cuesj-323	116	17	second	second	NOUN
cuesj-323	116	18	.	.	PUNCT
cuesj-323	117	1	this	this	DET
cuesj-323	117	2	layer	layer	NOUN
cuesj-323	117	3	will	will	AUX
cuesj-323	117	4	be	be	AUX
cuesj-323	117	5	concerned	concern	VERB
cuesj-323	117	6	about	about	ADP
cuesj-323	117	7	routing	route	VERB
cuesj-323	117	8	orders	order	NOUN
cuesj-323	117	9	and	and	CCONJ
cuesj-323	117	10	optimizing	optimize	VERB
cuesj-323	117	11	the	the	DET
cuesj-323	117	12	allocation	allocation	NOUN
cuesj-323	117	13	across	across	ADP
cuesj-323	117	14	other	other	ADJ
cuesj-323	117	15	cluster	cluster	NOUN
cuesj-323	117	16	agents	agent	NOUN
cuesj-323	117	17	based	base	VERB
cuesj-323	117	18	on	on	ADP
cuesj-323	117	19	a	a	DET
cuesj-323	117	20	predetermined	predetermine	VERB
cuesj-323	117	21	set	set	NOUN
cuesj-323	117	22	of	of	ADP
cuesj-323	117	23	rules	rule	NOUN
cuesj-323	117	24	.	.	PUNCT
cuesj-323	118	1	this	this	DET
cuesj-323	118	2	layer	layer	NOUN
cuesj-323	118	3	will	will	AUX
cuesj-323	118	4	calculate	calculate	VERB
cuesj-323	118	5	the	the	DET
cuesj-323	118	6	time	time	NOUN
cuesj-323	118	7	advancement	advancement	NOUN
cuesj-323	118	8	in	in	ADP
cuesj-323	118	9	the	the	DET
cuesj-323	118	10	model	model	NOUN
cuesj-323	118	11	by	by	ADP
cuesj-323	118	12	marking	mark	VERB
cuesj-323	118	13	which	which	DET
cuesj-323	118	14	orders	order	NOUN
cuesj-323	118	15	have	have	AUX
cuesj-323	118	16	been	be	AUX
cuesj-323	118	17	served	serve	VERB
cuesj-323	118	18	.	.	PUNCT
cuesj-323	119	1	provided	provide	VERB
cuesj-323	119	2	aq2	aq2	VERB
cuesj-323	119	3	the	the	DET
cuesj-323	119	4	nature	nature	NOUN
cuesj-323	119	5	of	of	ADP
cuesj-323	119	6	the	the	DET
cuesj-323	119	7	problem	problem	NOUN
cuesj-323	119	8	,	,	PUNCT
cuesj-323	119	9	the	the	DET
cuesj-323	119	10	abm	abm	PROPN
cuesj-323	119	11	layer	layer	NOUN
cuesj-323	119	12	2	2	NUM
cuesj-323	119	13	is	be	AUX
cuesj-323	119	14	assigned	assign	VERB
cuesj-323	119	15	to	to	PART
cuesj-323	119	16	model	model	VERB
cuesj-323	119	17	the	the	DET
cuesj-323	119	18	random	random	ADJ
cuesj-323	119	19	and	and	CCONJ
cuesj-323	119	20	continuous	continuous	ADJ
cuesj-323	119	21	disruptions	disruption	NOUN
cuesj-323	119	22	of	of	ADP
cuesj-323	119	23	vehicles	vehicle	NOUN
cuesj-323	119	24	during	during	ADP
cuesj-323	119	25	their	their	PRON
cuesj-323	119	26	run	run	NOUN
cuesj-323	119	27	.	.	PUNCT
cuesj-323	120	1	the	the	DET
cuesj-323	120	2	framework	framework	NOUN
cuesj-323	120	3	in	in	ADP
cuesj-323	120	4	the	the	DET
cuesj-323	120	5	following	follow	VERB
cuesj-323	120	6	subsection	subsection	NOUN
cuesj-323	120	7	will	will	AUX
cuesj-323	120	8	deal	deal	VERB
cuesj-323	120	9	with	with	ADP
cuesj-323	120	10	such	such	DET
cuesj-323	120	11	a	a	DET
cuesj-323	120	12	disruption	disruption	NOUN
cuesj-323	120	13	event	event	NOUN
cuesj-323	120	14	.	.	PUNCT
cuesj-323	121	1	the	the	DET
cuesj-323	121	2	output	output	NOUN
cuesj-323	121	3	of	of	ADP
cuesj-323	121	4	the	the	DET
cuesj-323	121	5	second	second	ADJ
cuesj-323	121	6	layer	layer	NOUN
cuesj-323	121	7	and	and	CCONJ
cuesj-323	121	8	the	the	DET
cuesj-323	121	9	process	process	NOUN
cuesj-323	121	10	output	output	NOUN
cuesj-323	121	11	will	will	AUX
cuesj-323	121	12	be	be	AUX
cuesj-323	121	13	the	the	DET
cuesj-323	121	14	clustering	cluster	VERB
cuesj-323	121	15	solutions	solution	NOUN
cuesj-323	121	16	and	and	CCONJ
cuesj-323	121	17	key	key	ADJ
cuesj-323	121	18	performance	performance	NOUN
cuesj-323	121	19	indicators	indicator	NOUN
cuesj-323	121	20	(	(	PUNCT
cuesj-323	121	21	kpi	kpi	PROPN
cuesj-323	121	22	)	)	PUNCT
cuesj-323	121	23	to	to	PART
cuesj-323	121	24	evaluate	evaluate	VERB
cuesj-323	121	25	the	the	DET
cuesj-323	121	26	developed	develop	VERB
cuesj-323	121	27	approach	approach	NOUN
cuesj-323	121	28	.	.	PUNCT
cuesj-323	122	1	the	the	DET
cuesj-323	122	2	output	output	NOUN
cuesj-323	122	3	would	would	AUX
cuesj-323	122	4	be	be	AUX
cuesj-323	122	5	customers	customer	NOUN
cuesj-323	122	6	grouping	group	VERB
cuesj-323	122	7	and	and	CCONJ
cuesj-323	122	8	sequencing	sequence	VERB
cuesj-323	122	9	,	,	PUNCT
cuesj-323	122	10	the	the	DET
cuesj-323	122	11	allocation	allocation	NOUN
cuesj-323	122	12	of	of	ADP
cuesj-323	122	13	drivers	driver	NOUN
cuesj-323	122	14	and	and	CCONJ
cuesj-323	122	15	vehicles	vehicle	NOUN
cuesj-323	122	16	,	,	PUNCT
cuesj-323	122	17	in	in	ADP
cuesj-323	122	18	addition	addition	NOUN
cuesj-323	122	19	to	to	ADP
cuesj-323	122	20	kpis	kpis	NOUN
cuesj-323	122	21	:	:	PUNCT
cuesj-323	122	22	number	number	NOUN
cuesj-323	122	23	of	of	ADP
cuesj-323	122	24	vehicles	vehicle	NOUN
cuesj-323	122	25	utilized	utilize	VERB
cuesj-323	122	26	,	,	PUNCT
cuesj-323	122	27	each	each	DET
cuesj-323	122	28	vehicle	vehicle	NOUN
cuesj-323	122	29	utilization	utilization	NOUN
cuesj-323	122	30	,	,	PUNCT
cuesj-323	122	31	each	each	DET
cuesj-323	122	32	driver	driver	NOUN
cuesj-323	122	33	idle	idle	ADJ
cuesj-323	122	34	time	time	NOUN
cuesj-323	122	35	,	,	PUNCT
cuesj-323	122	36	and	and	CCONJ
cuesj-323	122	37	the	the	DET
cuesj-323	122	38	unsatisfied	unsatisfied	ADJ
cuesj-323	122	39	customers	customer	NOUN
cuesj-323	122	40	.	.	PUNCT
cuesj-323	123	1	abm	abm	PROPN
cuesj-323	123	2	framework	framework	NOUN
cuesj-323	123	3	under	under	ADP
cuesj-323	123	4	vehicle	vehicle	NOUN
cuesj-323	123	5	breakdown	breakdown	NOUN
cuesj-323	123	6	when	when	SCONJ
cuesj-323	123	7	a	a	DET
cuesj-323	123	8	vehicle	vehicle	NOUN
cuesj-323	123	9	faces	face	VERB
cuesj-323	123	10	a	a	DET
cuesj-323	123	11	breakdown	breakdown	NOUN
cuesj-323	123	12	,	,	PUNCT
cuesj-323	123	13	it	it	PRON
cuesj-323	123	14	has	have	VERB
cuesj-323	123	15	to	to	PART
cuesj-323	123	16	be	be	AUX
cuesj-323	123	17	withdrawn	withdraw	VERB
cuesj-323	123	18	from	from	ADP
cuesj-323	123	19	the	the	DET
cuesj-323	123	20	model	model	NOUN
cuesj-323	123	21	for	for	ADP
cuesj-323	123	22	the	the	DET
cuesj-323	123	23	breakdown	breakdown	ADJ
cuesj-323	123	24	period	period	NOUN
cuesj-323	123	25	.	.	PUNCT
cuesj-323	124	1	as	as	ADP
cuesj-323	124	2	a	a	DET
cuesj-323	124	3	result	result	NOUN
cuesj-323	124	4	,	,	PUNCT
cuesj-323	124	5	its	its	PRON
cuesj-323	124	6	previous	previous	ADJ
cuesj-323	124	7	cluster	cluster	NOUN
cuesj-323	124	8	allocation	allocation	NOUN
cuesj-323	124	9	will	will	AUX
cuesj-323	124	10	be	be	AUX
cuesj-323	124	11	invalid	invalid	ADJ
cuesj-323	124	12	and	and	CCONJ
cuesj-323	124	13	requires	require	VERB
cuesj-323	124	14	modification	modification	NOUN
cuesj-323	124	15	.	.	PUNCT
cuesj-323	125	1	figure	figure	NOUN
cuesj-323	125	2	3	3	NUM
cuesj-323	125	3	illustrates	illustrate	VERB
cuesj-323	125	4	a	a	DET
cuesj-323	125	5	proposed	propose	VERB
cuesj-323	125	6	modeling	modeling	NOUN
cuesj-323	125	7	framework	framework	NOUN
cuesj-323	125	8	specializing	specialize	VERB
cuesj-323	125	9	in	in	ADP
cuesj-323	125	10	dealing	deal	VERB
cuesj-323	125	11	with	with	ADP
cuesj-323	125	12	breakdown	breakdown	NOUN
cuesj-323	125	13	and	and	CCONJ
cuesj-323	125	14	its	its	PRON
cuesj-323	125	15	required	require	VERB
cuesj-323	125	16	modeling	modeling	NOUN
cuesj-323	125	17	changes	change	NOUN
cuesj-323	125	18	.	.	PUNCT
cuesj-323	126	1	it	it	PRON
cuesj-323	126	2	has	have	AUX
cuesj-323	126	3	been	be	AUX
cuesj-323	126	4	mentioned	mention	VERB
cuesj-323	126	5	in	in	ADP
cuesj-323	126	6	the	the	DET
cuesj-323	126	7	previous	previous	ADJ
cuesj-323	126	8	section	section	NOUN
cuesj-323	126	9	that	that	SCONJ
cuesj-323	126	10	breakdowns	breakdown	NOUN
cuesj-323	126	11	are	be	AUX
cuesj-323	126	12	faced	face	VERB
cuesj-323	126	13	in	in	ADP
cuesj-323	126	14	the	the	DET
cuesj-323	126	15	second	second	ADJ
cuesj-323	126	16	layer	layer	NOUN
cuesj-323	126	17	during	during	ADP
cuesj-323	126	18	the	the	DET
cuesj-323	126	19	model	model	NOUN
cuesj-323	126	20	time	time	NOUN
cuesj-323	126	21	progression	progression	NOUN
cuesj-323	126	22	.	.	PUNCT
cuesj-323	127	1	this	this	DET
cuesj-323	127	2	breakdown	breakdown	NOUN
cuesj-323	127	3	needs	need	VERB
cuesj-323	127	4	to	to	PART
cuesj-323	127	5	be	be	AUX
cuesj-323	127	6	dealt	deal	VERB
cuesj-323	127	7	with	with	ADP
cuesj-323	127	8	by	by	ADP
cuesj-323	127	9	updating	update	VERB
cuesj-323	127	10	the	the	DET
cuesj-323	127	11	corresponding	correspond	VERB
cuesj-323	127	12	vehicle	vehicle	NOUN
cuesj-323	127	13	agent	agent	NOUN
cuesj-323	127	14	in	in	ADP
cuesj-323	127	15	the	the	DET
cuesj-323	127	16	first	first	ADJ
cuesj-323	127	17	layer	layer	NOUN
cuesj-323	127	18	,	,	PUNCT
cuesj-323	127	19	represented	represent	VERB
cuesj-323	127	20	by	by	ADP
cuesj-323	127	21	the	the	DET
cuesj-323	127	22	red	red	ADJ
cuesj-323	127	23	arrow	arrow	NOUN
cuesj-323	127	24	,	,	PUNCT
cuesj-323	127	25	to	to	PART
cuesj-323	127	26	update	update	VERB
cuesj-323	127	27	the	the	DET
cuesj-323	127	28	cluster	cluster	NOUN
cuesj-323	127	29	agent	agent	NOUN
cuesj-323	127	30	that	that	PRON
cuesj-323	127	31	utilizes	utilize	VERB
cuesj-323	127	32	the	the	DET
cuesj-323	127	33	disrupted	disrupt	VERB
cuesj-323	127	34	vehicles	vehicle	NOUN
cuesj-323	127	35	seen	see	VERB
cuesj-323	127	36	by	by	ADP
cuesj-323	127	37	the	the	DET
cuesj-323	127	38	blue	blue	ADJ
cuesj-323	127	39	dotted	dot	VERB
cuesj-323	127	40	arrow	arrow	NOUN
cuesj-323	127	41	between	between	ADP
cuesj-323	127	42	the	the	DET
cuesj-323	127	43	first	first	ADJ
cuesj-323	127	44	layer	layer	NOUN
cuesj-323	127	45	and	and	CCONJ
cuesj-323	127	46	the	the	DET
cuesj-323	127	47	cluster	cluster	NOUN
cuesj-323	127	48	agent	agent	NOUN
cuesj-323	127	49	.	.	PUNCT
cuesj-323	128	1	this	this	DET
cuesj-323	128	2	latest	late	ADJ
cuesj-323	128	3	update	update	NOUN
cuesj-323	128	4	will	will	AUX
cuesj-323	128	5	be	be	AUX
cuesj-323	128	6	concerned	concern	VERB
cuesj-323	128	7	about	about	ADP
cuesj-323	128	8	changing	change	VERB
cuesj-323	128	9	the	the	DET
cuesj-323	128	10	cluster	cluster	NOUN
cuesj-323	128	11	’s	’s	PART
cuesj-323	128	12	optimization	optimization	NOUN
cuesj-323	128	13	strategy	strategy	NOUN
cuesj-323	128	14	from	from	ADP
cuesj-323	128	15	a	a	DET
cuesj-323	128	16	two	two	NUM
cuesj-323	128	17	-	-	PUNCT
cuesj-323	128	18	way	way	NOUN
cuesj-323	128	19	exchange	exchange	NOUN
cuesj-323	128	20	strategy	strategy	NOUN
cuesj-323	128	21	,	,	PUNCT
cuesj-323	128	22	which	which	PRON
cuesj-323	128	23	allows	allow	VERB
cuesj-323	128	24	it	it	PRON
cuesj-323	128	25	to	to	PART
cuesj-323	128	26	give	give	VERB
cuesj-323	128	27	and	and	CCONJ
cuesj-323	128	28	take	take	VERB
cuesj-323	128	29	orders	order	NOUN
cuesj-323	128	30	to	to	PART
cuesj-323	128	31	/	/	SYM
cuesj-323	128	32	from	from	ADP
cuesj-323	128	33	other	other	ADJ
cuesj-323	128	34	clusters	cluster	NOUN
cuesj-323	128	35	before	before	ADP
cuesj-323	128	36	the	the	DET
cuesj-323	128	37	breakdown	breakdown	NOUN
cuesj-323	128	38	to	to	ADP
cuesj-323	128	39	only	only	ADV
cuesj-323	128	40	one	one	NUM
cuesj-323	128	41	way	way	NOUN
cuesj-323	128	42	allows	allow	VERB
cuesj-323	128	43	it	it	PRON
cuesj-323	128	44	to	to	PART
cuesj-323	128	45	give	give	VERB
cuesj-323	128	46	its	its	PRON
cuesj-323	128	47	orders	order	NOUN
cuesj-323	128	48	to	to	ADP
cuesj-323	128	49	other	other	ADJ
cuesj-323	128	50	clusters	cluster	NOUN
cuesj-323	128	51	.	.	PUNCT
cuesj-323	129	1	this	this	DET
cuesj-323	129	2	strategy	strategy	NOUN
cuesj-323	129	3	change	change	NOUN
cuesj-323	129	4	will	will	AUX
cuesj-323	129	5	be	be	AUX
cuesj-323	129	6	put	put	VERB
cuesj-323	129	7	into	into	ADP
cuesj-323	129	8	action	action	NOUN
cuesj-323	129	9	once	once	ADV
cuesj-323	129	10	reported	report	VERB
cuesj-323	129	11	to	to	ADP
cuesj-323	129	12	the	the	DET
cuesj-323	129	13	second	second	ADJ
cuesj-323	129	14	layer	layer	NOUN
cuesj-323	129	15	of	of	ADP
cuesj-323	129	16	the	the	DET
cuesj-323	129	17	abm	abm	PROPN
cuesj-323	129	18	,	,	PUNCT
cuesj-323	129	19	represented	represent	VERB
cuesj-323	129	20	by	by	ADP
cuesj-323	129	21	the	the	DET
cuesj-323	129	22	blue	blue	ADJ
cuesj-323	129	23	dotted	dot	VERB
cuesj-323	129	24	arrow	arrow	NOUN
cuesj-323	129	25	from	from	ADP
cuesj-323	129	26	the	the	DET
cuesj-323	129	27	cluster	cluster	NOUN
cuesj-323	129	28	agent	agent	NOUN
cuesj-323	129	29	.	.	PUNCT
cuesj-323	130	1	figure	figure	NOUN
cuesj-323	130	2	4	4	NUM
cuesj-323	130	3	illustrates	illustrate	VERB
cuesj-323	130	4	how	how	SCONJ
cuesj-323	130	5	the	the	DET
cuesj-323	130	6	implementation	implementation	NOUN
cuesj-323	130	7	is	be	AUX
cuesj-323	130	8	done	do	VERB
cuesj-323	130	9	for	for	ADP
cuesj-323	130	10	the	the	DET
cuesj-323	130	11	two	two	NUM
cuesj-323	130	12	strategies	strategy	NOUN
cuesj-323	130	13	.	.	PUNCT
cuesj-323	131	1	both	both	DET
cuesj-323	131	2	exchange	exchange	NOUN
cuesj-323	131	3	policies	policy	NOUN
cuesj-323	131	4	are	be	AUX
cuesj-323	131	5	governed	govern	VERB
cuesj-323	131	6	by	by	ADP
cuesj-323	131	7	a	a	DET
cuesj-323	131	8	set	set	NOUN
cuesj-323	131	9	of	of	ADP
cuesj-323	131	10	optimizing	optimize	VERB
cuesj-323	131	11	and	and	CCONJ
cuesj-323	131	12	predefined	predefine	VERB
cuesj-323	131	13	rules	rule	NOUN
cuesj-323	131	14	.	.	PUNCT
cuesj-323	132	1	if	if	SCONJ
cuesj-323	132	2	the	the	DET
cuesj-323	132	3	cluster	cluster	NOUN
cuesj-323	132	4	is	be	AUX
cuesj-323	132	5	emptied	empty	VERB
cuesj-323	132	6	from	from	ADP
cuesj-323	132	7	orders	order	NOUN
cuesj-323	132	8	,	,	PUNCT
cuesj-323	132	9	the	the	DET
cuesj-323	132	10	second	second	ADJ
cuesj-323	132	11	layer	layer	NOUN
cuesj-323	132	12	will	will	AUX
cuesj-323	132	13	report	report	VERB
cuesj-323	132	14	to	to	ADP
cuesj-323	132	15	the	the	DET
cuesj-323	132	16	cluster	cluster	NOUN
cuesj-323	132	17	agent	agent	NOUN
cuesj-323	132	18	to	to	PART
cuesj-323	132	19	be	be	AUX
cuesj-323	132	20	deactivated	deactivate	VERB
cuesj-323	132	21	,	,	PUNCT
cuesj-323	132	22	represented	represent	VERB
cuesj-323	132	23	by	by	ADP
cuesj-323	132	24	the	the	DET
cuesj-323	132	25	blue	blue	ADJ
cuesj-323	132	26	dotted	dot	VERB
cuesj-323	132	27	arrow	arrow	NOUN
cuesj-323	132	28	on	on	ADP
cuesj-323	132	29	the	the	DET
cuesj-323	132	30	right	right	NOUN
cuesj-323	132	31	in	in	ADP
cuesj-323	132	32	figure	figure	NOUN
cuesj-323	132	33	3	3	NUM
cuesj-323	132	34	.	.	PUNCT
cuesj-323	133	1	if	if	SCONJ
cuesj-323	133	2	the	the	DET
cuesj-323	133	3	cluster	cluster	NOUN
cuesj-323	133	4	was	be	AUX
cuesj-323	133	5	not	not	PART
cuesj-323	133	6	emptied	empty	VERB
cuesj-323	133	7	,	,	PUNCT
cuesj-323	133	8	it	it	PRON
cuesj-323	133	9	would	would	AUX
cuesj-323	133	10	remain	remain	VERB
cuesj-323	133	11	in	in	ADP
cuesj-323	133	12	the	the	DET
cuesj-323	133	13	second	second	ADJ
cuesj-323	133	14	layer	layer	NOUN
cuesj-323	133	15	with	with	ADP
cuesj-323	133	16	a	a	DET
cuesj-323	133	17	one	one	NUM
cuesj-323	133	18	-	-	PUNCT
cuesj-323	133	19	way	way	NOUN
cuesj-323	133	20	exchange	exchange	NOUN
cuesj-323	133	21	policy	policy	NOUN
cuesj-323	133	22	for	for	ADP
cuesj-323	133	23	possible	possible	ADJ
cuesj-323	133	24	future	future	ADJ
cuesj-323	133	25	consideration	consideration	NOUN
cuesj-323	133	26	of	of	ADP
cuesj-323	133	27	its	its	PRON
cuesj-323	133	28	orders	order	NOUN
cuesj-323	133	29	by	by	ADP
cuesj-323	133	30	other	other	ADJ
cuesj-323	133	31	clusters	cluster	NOUN
cuesj-323	133	32	,	,	PUNCT
cuesj-323	133	33	and	and	CCONJ
cuesj-323	133	34	in	in	ADP
cuesj-323	133	35	case	case	NOUN
cuesj-323	133	36	,	,	PUNCT
cuesj-323	133	37	these	these	DET
cuesj-323	133	38	remaining	remain	VERB
cuesj-323	133	39	orders	order	NOUN
cuesj-323	133	40	are	be	AUX
cuesj-323	133	41	not	not	PART
cuesj-323	133	42	allocated	allocate	VERB
cuesj-323	133	43	,	,	PUNCT
cuesj-323	133	44	they	they	PRON
cuesj-323	133	45	noted	note	VERB
cuesj-323	133	46	at	at	ADP
cuesj-323	133	47	unserved	unserved	ADJ
cuesj-323	133	48	.	.	PUNCT
cuesj-323	134	1	after	after	ADP
cuesj-323	134	2	considering	consider	VERB
cuesj-323	134	3	the	the	DET
cuesj-323	134	4	reallocations	reallocation	NOUN
cuesj-323	134	5	,	,	PUNCT
cuesj-323	134	6	the	the	DET
cuesj-323	134	7	model	model	NOUN
cuesj-323	134	8	is	be	AUX
cuesj-323	134	9	ready	ready	ADJ
cuesj-323	134	10	to	to	PART
cuesj-323	134	11	be	be	AUX
cuesj-323	134	12	rerun	rerun	VERB
cuesj-323	134	13	and	and	CCONJ
cuesj-323	134	14	serve	serve	VERB
cuesj-323	134	15	the	the	DET
cuesj-323	134	16	new	new	ADJ
cuesj-323	134	17	allocation	allocation	NOUN
cuesj-323	134	18	form	form	NOUN
cuesj-323	134	19	.	.	PUNCT
cuesj-323	135	1	the	the	DET
cuesj-323	135	2	model	model	NOUN
cuesj-323	135	3	will	will	AUX
cuesj-323	135	4	also	also	ADV
cuesj-323	135	5	be	be	AUX
cuesj-323	135	6	flexible	flexible	ADJ
cuesj-323	135	7	enough	enough	ADV
cuesj-323	135	8	to	to	PART
cuesj-323	135	9	accommodate	accommodate	VERB
cuesj-323	135	10	another	another	DET
cuesj-323	135	11	random	random	ADJ
cuesj-323	135	12	vehicle	vehicle	NOUN
cuesj-323	135	13	breakdown	breakdown	ADJ
cuesj-323	135	14	event	event	NOUN
cuesj-323	135	15	.	.	PUNCT
cuesj-323	136	1	sequence	sequence	NOUN
cuesj-323	136	2	messaging	message	VERB
cuesj-323	136	3	to	to	PART
cuesj-323	136	4	implement	implement	VERB
cuesj-323	136	5	the	the	DET
cuesj-323	136	6	abm	abm	PROPN
cuesj-323	136	7	model	model	NOUN
cuesj-323	136	8	,	,	PUNCT
cuesj-323	136	9	sequencing	sequence	VERB
cuesj-323	136	10	of	of	ADP
cuesj-323	136	11	agents	agent	NOUN
cuesj-323	136	12	’	'	PUNCT
cuesj-323	136	13	collaboration	collaboration	NOUN
cuesj-323	136	14	is	be	AUX
cuesj-323	136	15	needed	need	VERB
cuesj-323	136	16	,	,	PUNCT
cuesj-323	136	17	and	and	CCONJ
cuesj-323	136	18	its	its	PRON
cuesj-323	136	19	logic	logic	NOUN
cuesj-323	136	20	can	can	AUX
cuesj-323	136	21	be	be	AUX
cuesj-323	136	22	illustrated	illustrate	VERB
cuesj-323	136	23	using	use	VERB
cuesj-323	136	24	a	a	DET
cuesj-323	136	25	uml	uml	NOUN
cuesj-323	136	26	sequence	sequence	NOUN
cuesj-323	136	27	diagram	diagram	NOUN
cuesj-323	136	28	,	,	PUNCT
cuesj-323	136	29	also	also	ADV
cuesj-323	136	30	known	know	VERB
cuesj-323	136	31	as	as	ADP
cuesj-323	136	32	agent	agent	NOUN
cuesj-323	136	33	messaging.[43	messaging.[43	PROPN
cuesj-323	136	34	]	]	PUNCT
cuesj-323	136	35	the	the	DET
cuesj-323	136	36	messaging	messaging	NOUN
cuesj-323	136	37	diagram	diagram	NOUN
cuesj-323	136	38	for	for	ADP
cuesj-323	136	39	the	the	DET
cuesj-323	136	40	developed	develop	VERB
cuesj-323	136	41	model	model	NOUN
cuesj-323	136	42	is	be	AUX
cuesj-323	136	43	shown	show	VERB
cuesj-323	136	44	in	in	ADP
cuesj-323	136	45	figure	figure	NOUN
cuesj-323	136	46	5	5	NUM
cuesj-323	136	47	.	.	PUNCT
cuesj-323	137	1	the	the	DET
cuesj-323	137	2	super	super	ADJ
cuesj-323	137	3	-	-	ADJ
cuesj-323	137	4	agent	agent	NOUN
cuesj-323	137	5	initiates	initiate	VERB
cuesj-323	137	6	the	the	DET
cuesj-323	137	7	sequence	sequence	NOUN
cuesj-323	137	8	by	by	ADP
cuesj-323	137	9	allowing	allow	VERB
cuesj-323	137	10	vehicles	vehicle	NOUN
cuesj-323	137	11	to	to	PART
cuesj-323	137	12	seek	seek	VERB
cuesj-323	137	13	drivers	driver	NOUN
cuesj-323	137	14	and	and	CCONJ
cuesj-323	137	15	then	then	ADV
cuesj-323	137	16	receiving	receive	VERB
cuesj-323	137	17	driver	driver	NOUN
cuesj-323	137	18	assignment	assignment	NOUN
cuesj-323	137	19	.	.	PUNCT
cuesj-323	138	1	accordingly	accordingly	ADV
cuesj-323	138	2	,	,	PUNCT
cuesj-323	138	3	possible	possible	ADJ
cuesj-323	138	4	orders	order	NOUN
cuesj-323	138	5	allocations	allocation	NOUN
cuesj-323	138	6	are	be	AUX
cuesj-323	138	7	sought	seek	VERB
cuesj-323	138	8	then	then	ADV
cuesj-323	138	9	the	the	DET
cuesj-323	138	10	ram	ram	NOUN
cuesj-323	138	11	for	for	ADP
cuesj-323	138	12	computer	computer	NOUN
cuesj-323	138	13	rectangle	rectangle	NOUN
cuesj-323	138	14	abu	abu	PROPN
cuesj-323	138	15	-	-	PUNCT
cuesj-323	138	16	monshar	monshar	PROPN
cuesj-323	138	17	,	,	PUNCT
cuesj-323	138	18	et	et	PROPN
cuesj-323	138	19	al	al	PROPN
cuesj-323	138	20	.	.	PROPN
cuesj-323	138	21	:	:	PUNCT
cuesj-323	139	1	vehicle	vehicle	NOUN
cuesj-323	139	2	breakdown	breakdown	NOUN
cuesj-323	139	3	in	in	ADP
cuesj-323	139	4	dvrp	dvrp	PROPN
cuesj-323	139	5	5	5	NUM
cuesj-323	139	6	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	139	7	cuesj	cuesj	ADJ
cuesj-323	139	8	2021	2021	NUM
cuesj-323	139	9	,	,	PUNCT
cuesj-323	139	10	5	5	NUM
cuesj-323	139	11	(	(	PUNCT
cuesj-323	139	12	1	1	NUM
cuesj-323	139	13	):	):	PUNCT
cuesj-323	139	14	1	1	NUM
cuesj-323	139	15	-	-	SYM
cuesj-323	139	16	10	10	NUM
cuesj-323	139	17	on	on	ADP
cuesj-323	139	18	forming	form	VERB
cuesj-323	139	19	the	the	DET
cuesj-323	139	20	cluster	cluster	NOUN
cuesj-323	139	21	agents	agent	NOUN
cuesj-323	139	22	,	,	PUNCT
cuesj-323	139	23	each	each	PRON
cuesj-323	139	24	will	will	AUX
cuesj-323	139	25	perform	perform	VERB
cuesj-323	139	26	the	the	DET
cuesj-323	139	27	twoway	twoway	NOUN
cuesj-323	139	28	exchange	exchange	NOUN
cuesj-323	139	29	for	for	ADP
cuesj-323	139	30	optimization	optimization	NOUN
cuesj-323	139	31	purposes	purpose	NOUN
cuesj-323	139	32	and	and	CCONJ
cuesj-323	139	33	determine	determine	VERB
cuesj-323	139	34	its	its	PRON
cuesj-323	139	35	next	next	ADJ
cuesj-323	139	36	order	order	NOUN
cuesj-323	139	37	to	to	PART
cuesj-323	139	38	serve	serve	VERB
cuesj-323	139	39	.	.	PUNCT
cuesj-323	140	1	once	once	SCONJ
cuesj-323	140	2	the	the	DET
cuesj-323	140	3	next	next	ADJ
cuesj-323	140	4	node	node	NOUN
cuesj-323	140	5	has	have	AUX
cuesj-323	140	6	been	be	AUX
cuesj-323	140	7	approved	approve	VERB
cuesj-323	140	8	,	,	PUNCT
cuesj-323	140	9	the	the	DET
cuesj-323	140	10	driver	driver	NOUN
cuesj-323	140	11	agents	agent	NOUN
cuesj-323	140	12	are	be	AUX
cuesj-323	140	13	notified	notify	VERB
cuesj-323	140	14	to	to	PART
cuesj-323	140	15	drive	drive	VERB
cuesj-323	140	16	the	the	DET
cuesj-323	140	17	vehicle	vehicle	NOUN
cuesj-323	140	18	to	to	ADP
cuesj-323	140	19	the	the	DET
cuesj-323	140	20	order	order	NOUN
cuesj-323	140	21	location	location	NOUN
cuesj-323	140	22	then	then	ADV
cuesj-323	140	23	perform	perform	VERB
cuesj-323	140	24	the	the	DET
cuesj-323	140	25	order	order	NOUN
cuesj-323	140	26	service	service	NOUN
cuesj-323	140	27	to	to	PART
cuesj-323	140	28	be	be	AUX
cuesj-323	140	29	then	then	ADV
cuesj-323	140	30	marked	mark	VERB
cuesj-323	140	31	as	as	ADP
cuesj-323	140	32	complete	complete	ADJ
cuesj-323	140	33	.	.	PUNCT
cuesj-323	141	1	in	in	ADP
cuesj-323	141	2	case	case	NOUN
cuesj-323	141	3	of	of	ADP
cuesj-323	141	4	a	a	DET
cuesj-323	141	5	random	random	ADJ
cuesj-323	141	6	breakdown	breakdown	NOUN
cuesj-323	141	7	,	,	PUNCT
cuesj-323	141	8	a	a	DET
cuesj-323	141	9	reporting	reporting	NOUN
cuesj-323	141	10	message	message	NOUN
cuesj-323	141	11	from	from	ADP
cuesj-323	141	12	the	the	DET
cuesj-323	141	13	cluster	cluster	NOUN
cuesj-323	141	14	agent	agent	NOUN
cuesj-323	141	15	to	to	ADP
cuesj-323	141	16	the	the	DET
cuesj-323	141	17	super	super	NOUN
cuesj-323	141	18	-	-	NOUN
cuesj-323	141	19	agent	agent	NOUN
cuesj-323	141	20	to	to	PART
cuesj-323	141	21	dismiss	dismiss	VERB
cuesj-323	141	22	the	the	DET
cuesj-323	141	23	vehicle	vehicle	NOUN
cuesj-323	141	24	and	and	CCONJ
cuesj-323	141	25	driver	driver	NOUN
cuesj-323	141	26	agents	agent	NOUN
cuesj-323	141	27	affected	affect	VERB
cuesj-323	141	28	by	by	ADP
cuesj-323	141	29	the	the	DET
cuesj-323	141	30	disruption	disruption	NOUN
cuesj-323	141	31	,	,	PUNCT
cuesj-323	141	32	in	in	ADP
cuesj-323	141	33	addition	addition	NOUN
cuesj-323	141	34	to	to	ADP
cuesj-323	141	35	cluster	cluster	NOUN
cuesj-323	141	36	policy	policy	NOUN
cuesj-323	141	37	change	change	NOUN
cuesj-323	141	38	to	to	ADP
cuesj-323	141	39	one	one	NUM
cuesj-323	141	40	-	-	PUNCT
cuesj-323	141	41	way	way	NOUN
cuesj-323	141	42	exchange	exchange	NOUN
cuesj-323	141	43	.	.	PUNCT
cuesj-323	142	1	agent	agent	NOUN
cuesj-323	142	2	collaboration	collaboration	NOUN
cuesj-323	142	3	rules	rule	NOUN
cuesj-323	142	4	it	it	PRON
cuesj-323	142	5	has	have	AUX
cuesj-323	142	6	been	be	AUX
cuesj-323	142	7	previously	previously	ADV
cuesj-323	142	8	stated	state	VERB
cuesj-323	142	9	that	that	SCONJ
cuesj-323	142	10	a	a	DET
cuesj-323	142	11	set	set	NOUN
cuesj-323	142	12	of	of	ADP
cuesj-323	142	13	rules	rule	NOUN
cuesj-323	142	14	will	will	AUX
cuesj-323	142	15	be	be	AUX
cuesj-323	142	16	governing	govern	VERB
cuesj-323	142	17	the	the	DET
cuesj-323	142	18	decisions	decision	NOUN
cuesj-323	142	19	in	in	ADP
cuesj-323	142	20	this	this	DET
cuesj-323	142	21	abm	abm	PROPN
cuesj-323	142	22	framework	framework	NOUN
cuesj-323	142	23	.	.	PUNCT
cuesj-323	143	1	this	this	DET
cuesj-323	143	2	section	section	NOUN
cuesj-323	143	3	will	will	AUX
cuesj-323	143	4	explicitly	explicitly	ADV
cuesj-323	143	5	state	state	VERB
cuesj-323	143	6	the	the	DET
cuesj-323	143	7	proposed	propose	VERB
cuesj-323	143	8	rules	rule	NOUN
cuesj-323	143	9	categorized	categorize	VERB
cuesj-323	143	10	based	base	VERB
cuesj-323	143	11	on	on	ADP
cuesj-323	143	12	the	the	DET
cuesj-323	143	13	stage	stage	NOUN
cuesj-323	143	14	of	of	ADP
cuesj-323	143	15	its	its	PRON
cuesj-323	143	16	use	use	NOUN
cuesj-323	143	17	.	.	PUNCT
cuesj-323	144	1	table	table	NOUN
cuesj-323	144	2	1	1	NUM
cuesj-323	144	3	shows	show	VERB
cuesj-323	144	4	the	the	DET
cuesj-323	144	5	proposed	propose	VERB
cuesj-323	144	6	abm	abm	PROPN
cuesj-323	144	7	rules	rule	NOUN
cuesj-323	144	8	in	in	ADP
cuesj-323	144	9	each	each	PRON
cuesj-323	144	10	of	of	ADP
cuesj-323	144	11	their	their	PRON
cuesj-323	144	12	categories	category	NOUN
cuesj-323	144	13	.	.	PUNCT
cuesj-323	145	1	this	this	DET
cuesj-323	145	2	work	work	NOUN
cuesj-323	145	3	is	be	AUX
cuesj-323	145	4	still	still	ADV
cuesj-323	145	5	ongoing	ongoing	ADJ
cuesj-323	145	6	research	research	NOUN
cuesj-323	145	7	;	;	PUNCT
cuesj-323	145	8	therefore	therefore	ADV
cuesj-323	145	9	,	,	PUNCT
cuesj-323	145	10	abm	abm	PROPN
cuesj-323	145	11	rules	rule	NOUN
cuesj-323	145	12	are	be	AUX
cuesj-323	145	13	still	still	ADV
cuesj-323	145	14	not	not	PART
cuesj-323	145	15	fully	fully	ADV
cuesj-323	145	16	developed	develop	VERB
cuesj-323	145	17	to	to	PART
cuesj-323	145	18	comprehend	comprehend	VERB
cuesj-323	145	19	the	the	DET
cuesj-323	145	20	logic	logic	NOUN
cuesj-323	145	21	of	of	ADP
cuesj-323	145	22	solving	solve	VERB
cuesj-323	145	23	the	the	DET
cuesj-323	145	24	dynamic	dynamic	ADJ
cuesj-323	145	25	vehicle	vehicle	NOUN
cuesj-323	145	26	vrp	vrp	PROPN
cuesj-323	145	27	.	.	PUNCT
cuesj-323	146	1	the	the	DET
cuesj-323	146	2	first	first	ADJ
cuesj-323	146	3	category	category	NOUN
cuesj-323	146	4	of	of	ADP
cuesj-323	146	5	rules	rule	NOUN
cuesj-323	146	6	is	be	AUX
cuesj-323	146	7	the	the	DET
cuesj-323	146	8	allocation	allocation	NOUN
cuesj-323	146	9	rules	rule	NOUN
cuesj-323	146	10	that	that	PRON
cuesj-323	146	11	deal	deal	VERB
cuesj-323	146	12	with	with	ADP
cuesj-323	146	13	allocating	allocate	VERB
cuesj-323	146	14	drivers	driver	NOUN
cuesj-323	146	15	to	to	ADP
cuesj-323	146	16	vehicles	vehicle	NOUN
cuesj-323	146	17	.	.	PUNCT
cuesj-323	147	1	five	five	NUM
cuesj-323	147	2	rules	rule	NOUN
cuesj-323	147	3	have	have	AUX
cuesj-323	147	4	been	be	AUX
cuesj-323	147	5	proposed	propose	VERB
cuesj-323	147	6	:	:	PUNCT
cuesj-323	147	7	the	the	DET
cuesj-323	147	8	first	first	ADJ
cuesj-323	147	9	rule	rule	NOUN
cuesj-323	147	10	looks	look	VERB
cuesj-323	147	11	into	into	ADP
cuesj-323	147	12	the	the	DET
cuesj-323	147	13	driver	driver	NOUN
cuesj-323	147	14	with	with	ADP
cuesj-323	147	15	the	the	DET
cuesj-323	147	16	most	most	ADJ
cuesj-323	147	17	availability	availability	NOUN
cuesj-323	147	18	and	and	CCONJ
cuesj-323	147	19	is	be	AUX
cuesj-323	147	20	allocated	allocate	VERB
cuesj-323	147	21	first	first	ADV
cuesj-323	147	22	to	to	ADP
cuesj-323	147	23	a	a	DET
cuesj-323	147	24	vehicle	vehicle	NOUN
cuesj-323	147	25	.	.	PUNCT
cuesj-323	148	1	the	the	DET
cuesj-323	148	2	second	second	ADJ
cuesj-323	148	3	rule	rule	NOUN
cuesj-323	148	4	seeks	seek	VERB
cuesj-323	148	5	vehicles	vehicle	NOUN
cuesj-323	148	6	with	with	ADP
cuesj-323	148	7	the	the	DET
cuesj-323	148	8	most	most	ADJ
cuesj-323	148	9	availability	availability	NOUN
cuesj-323	148	10	to	to	PART
cuesj-323	148	11	be	be	AUX
cuesj-323	148	12	selected	select	VERB
cuesj-323	148	13	first	first	ADV
cuesj-323	148	14	.	.	PUNCT
cuesj-323	149	1	the	the	DET
cuesj-323	149	2	third	third	ADJ
cuesj-323	149	3	rule	rule	NOUN
cuesj-323	149	4	may	may	AUX
cuesj-323	149	5	prioritize	prioritize	AUX
cuesj-323	149	6	experienced	experience	VERB
cuesj-323	149	7	high	high	ADJ
cuesj-323	149	8	drivers	driver	NOUN
cuesj-323	149	9	in	in	ADP
cuesj-323	149	10	the	the	DET
cuesj-323	149	11	allocation	allocation	NOUN
cuesj-323	149	12	due	due	ADP
cuesj-323	149	13	to	to	ADP
cuesj-323	149	14	their	their	PRON
cuesj-323	149	15	route	route	NOUN
cuesj-323	149	16	and	and	CCONJ
cuesj-323	149	17	order	order	VERB
cuesj-323	149	18	servicing	servicing	NOUN
cuesj-323	149	19	familiarity	familiarity	NOUN
cuesj-323	149	20	.	.	PUNCT
cuesj-323	150	1	vehicle	vehicle	PROPN
cuesj-323	150	2	agent	agent	PROPN
cuesj-323	150	3	reports	report	VERB
cuesj-323	150	4	the	the	DET
cuesj-323	150	5	vehicle	vehicle	NOUN
cuesj-323	150	6	-	-	PUNCT
cuesj-323	150	7	driver	driver	NOUN
cuesj-323	150	8	-	-	PUNCT
cuesj-323	150	9	orders	order	NOUN
cuesj-323	150	10	grouping	group	VERB
cuesj-323	150	11	to	to	ADP
cuesj-323	150	12	the	the	DET
cuesj-323	150	13	super	super	NOUN
cuesj-323	150	14	-	-	NOUN
cuesj-323	150	15	agent	agent	NOUN
cuesj-323	150	16	to	to	PART
cuesj-323	150	17	initiate	initiate	VERB
cuesj-323	150	18	the	the	DET
cuesj-323	150	19	second	second	ADJ
cuesj-323	150	20	layer	layer	NOUN
cuesj-323	150	21	’s	’s	PART
cuesj-323	150	22	cluster	cluster	NOUN
cuesj-323	150	23	agents	agent	NOUN
cuesj-323	150	24	.	.	PUNCT
cuesj-323	151	1	figure	figure	NOUN
cuesj-323	151	2	2	2	NUM
cuesj-323	151	3	:	:	PUNCT
cuesj-323	151	4	the	the	DET
cuesj-323	151	5	proposed	propose	VERB
cuesj-323	151	6	input	input	NOUN
cuesj-323	151	7	-	-	PUNCT
cuesj-323	151	8	process	process	NOUN
cuesj-323	151	9	-	-	PUNCT
cuesj-323	151	10	output	output	NOUN
cuesj-323	151	11	model	model	NOUN
cuesj-323	151	12	figure	figure	NOUN
cuesj-323	151	13	3	3	NUM
cuesj-323	151	14	:	:	PUNCT
cuesj-323	151	15	agent	agent	NOUN
cuesj-323	151	16	-	-	PUNCT
cuesj-323	151	17	based	base	VERB
cuesj-323	151	18	model	model	NOUN
cuesj-323	151	19	modeling	model	VERB
cuesj-323	151	20	framework	framework	NOUN
cuesj-323	151	21	under	under	ADP
cuesj-323	151	22	vehicle	vehicle	NOUN
cuesj-323	151	23	breakdown	breakdown	NOUN
cuesj-323	151	24	figure	figure	NOUN
cuesj-323	151	25	4	4	NUM
cuesj-323	151	26	:	:	PUNCT
cuesj-323	151	27	cluster	cluster	NOUN
cuesj-323	151	28	strategy	strategy	NOUN
cuesj-323	151	29	change	change	NOUN
cuesj-323	151	30	before	before	ADV
cuesj-323	151	31	and	and	CCONJ
cuesj-323	151	32	after	after	ADP
cuesj-323	151	33	a	a	DET
cuesj-323	151	34	breakdown	breakdown	ADJ
cuesj-323	151	35	abu	abu	NOUN
cuesj-323	151	36	-	-	PUNCT
cuesj-323	151	37	monshar	monshar	PROPN
cuesj-323	151	38	,	,	PUNCT
cuesj-323	151	39	et	et	PROPN
cuesj-323	151	40	al	al	PROPN
cuesj-323	151	41	.	.	PROPN
cuesj-323	151	42	:	:	PUNCT
cuesj-323	151	43	vehicle	vehicle	NOUN
cuesj-323	151	44	breakdown	breakdown	NOUN
cuesj-323	151	45	in	in	ADP
cuesj-323	151	46	dvrp	dvrp	NOUN
cuesj-323	151	47	6	6	NUM
cuesj-323	151	48	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	151	49	cuesj	cuesj	ADJ
cuesj-323	151	50	2021	2021	NUM
cuesj-323	151	51	,	,	PUNCT
cuesj-323	151	52	5	5	NUM
cuesj-323	151	53	(	(	PUNCT
cuesj-323	151	54	1	1	NUM
cuesj-323	151	55	):	):	PUNCT
cuesj-323	151	56	1	1	NUM
cuesj-323	151	57	-	-	SYM
cuesj-323	151	58	10	10	NUM
cuesj-323	151	59	the	the	DET
cuesj-323	151	60	last	last	ADJ
cuesj-323	151	61	two	two	NUM
cuesj-323	151	62	rules	rule	NOUN
cuesj-323	151	63	in	in	ADP
cuesj-323	151	64	allocation	allocation	NOUN
cuesj-323	151	65	are	be	AUX
cuesj-323	151	66	trying	try	VERB
cuesj-323	151	67	to	to	PART
cuesj-323	151	68	utilize	utilize	VERB
cuesj-323	151	69	the	the	DET
cuesj-323	151	70	earliest	early	ADJ
cuesj-323	151	71	operating	operate	VERB
cuesj-323	151	72	drivers	driver	NOUN
cuesj-323	151	73	and	and	CCONJ
cuesj-323	151	74	vehicles	vehicle	NOUN
cuesj-323	151	75	first	first	ADV
cuesj-323	151	76	.	.	PUNCT
cuesj-323	152	1	clustering	cluster	VERB
cuesj-323	152	2	rules	rule	NOUN
cuesj-323	152	3	,	,	PUNCT
cuesj-323	152	4	on	on	ADP
cuesj-323	152	5	the	the	DET
cuesj-323	152	6	contrary	contrary	NOUN
cuesj-323	152	7	,	,	PUNCT
cuesj-323	152	8	deal	deal	VERB
cuesj-323	152	9	with	with	ADP
cuesj-323	152	10	orders	order	NOUN
cuesj-323	152	11	assignment	assignment	NOUN
cuesj-323	152	12	to	to	ADP
cuesj-323	152	13	the	the	DET
cuesj-323	152	14	vehicle	vehicle	NOUN
cuesj-323	152	15	-	-	PUNCT
cuesj-323	152	16	driver	driver	NOUN
cuesj-323	152	17	allocations	allocation	NOUN
cuesj-323	152	18	.	.	PUNCT
cuesj-323	153	1	such	such	ADJ
cuesj-323	153	2	assignment	assignment	NOUN
cuesj-323	153	3	may	may	AUX
cuesj-323	153	4	be	be	AUX
cuesj-323	153	5	based	base	VERB
cuesj-323	153	6	on	on	ADP
cuesj-323	153	7	prioritizing	prioritize	VERB
cuesj-323	153	8	orders	order	NOUN
cuesj-323	153	9	with	with	ADP
cuesj-323	153	10	their	their	PRON
cuesj-323	153	11	earliest	early	ADJ
cuesj-323	153	12	early	early	ADJ
cuesj-323	153	13	time	time	NOUN
cuesj-323	153	14	window	window	NOUN
cuesj-323	153	15	,	,	PUNCT
cuesj-323	153	16	location	location	NOUN
cuesj-323	153	17	to	to	ADP
cuesj-323	153	18	the	the	DET
cuesj-323	153	19	vehicle	vehicle	NOUN
cuesj-323	153	20	-	-	PUNCT
cuesj-323	153	21	driver	driver	NOUN
cuesj-323	153	22	,	,	PUNCT
cuesj-323	153	23	or	or	CCONJ
cuesj-323	153	24	both	both	PRON
cuesj-323	153	25	.	.	PUNCT
cuesj-323	154	1	adopting	adopt	VERB
cuesj-323	154	2	both	both	DET
cuesj-323	154	3	rules	rule	NOUN
cuesj-323	154	4	can	can	AUX
cuesj-323	154	5	be	be	AUX
cuesj-323	154	6	seen	see	VERB
cuesj-323	154	7	in	in	ADP
cuesj-323	154	8	the	the	DET
cuesj-323	154	9	pseudocode	pseudocode	NOUN
cuesj-323	154	10	represented	represent	VERB
cuesj-323	154	11	in	in	ADP
cuesj-323	154	12	figure	figure	NOUN
cuesj-323	154	13	6	6	NUM
cuesj-323	154	14	.	.	PUNCT
cuesj-323	154	15	from	from	ADP
cuesj-323	154	16	this	this	DET
cuesj-323	154	17	pseudo	pseudo	NOUN
cuesj-323	154	18	-	-	NOUN
cuesj-323	154	19	code	code	NOUN
cuesj-323	154	20	,	,	PUNCT
cuesj-323	154	21	it	it	PRON
cuesj-323	154	22	can	can	AUX
cuesj-323	154	23	be	be	AUX
cuesj-323	154	24	seen	see	VERB
cuesj-323	154	25	that	that	SCONJ
cuesj-323	154	26	it	it	PRON
cuesj-323	154	27	prioritizes	prioritize	VERB
cuesj-323	154	28	the	the	DET
cuesj-323	154	29	order	order	NOUN
cuesj-323	154	30	with	with	ADP
cuesj-323	154	31	the	the	DET
cuesj-323	154	32	earliest	early	ADJ
cuesj-323	154	33	early	early	ADJ
cuesj-323	154	34	time	time	NOUN
cuesj-323	154	35	window	window	NOUN
cuesj-323	154	36	to	to	PART
cuesj-323	154	37	be	be	AUX
cuesj-323	154	38	allocated	allocate	VERB
cuesj-323	154	39	first	first	ADV
cuesj-323	154	40	to	to	ADP
cuesj-323	154	41	a	a	DET
cuesj-323	154	42	near	near	ADJ
cuesj-323	154	43	vehicle	vehicle	NOUN
cuesj-323	154	44	,	,	PUNCT
cuesj-323	154	45	considering	consider	VERB
cuesj-323	154	46	the	the	DET
cuesj-323	154	47	vehicle	vehicle	NOUN
cuesj-323	154	48	’s	’s	PART
cuesj-323	154	49	time	time	NOUN
cuesj-323	154	50	and	and	CCONJ
cuesj-323	154	51	capacity	capacity	NOUN
cuesj-323	154	52	constraints	constraint	NOUN
cuesj-323	154	53	.	.	PUNCT
cuesj-323	155	1	this	this	DET
cuesj-323	155	2	process	process	NOUN
cuesj-323	155	3	will	will	AUX
cuesj-323	155	4	be	be	AUX
cuesj-323	155	5	repeated	repeat	VERB
cuesj-323	155	6	until	until	SCONJ
cuesj-323	155	7	either	either	CCONJ
cuesj-323	155	8	the	the	DET
cuesj-323	155	9	orders	order	NOUN
cuesj-323	155	10	are	be	AUX
cuesj-323	155	11	assigned	assign	VERB
cuesj-323	155	12	or	or	CCONJ
cuesj-323	155	13	the	the	DET
cuesj-323	155	14	vehicles	vehicle	NOUN
cuesj-323	155	15	are	be	AUX
cuesj-323	155	16	fully	fully	ADV
cuesj-323	155	17	utilized	utilize	VERB
cuesj-323	155	18	.	.	PUNCT
cuesj-323	156	1	notations	notation	NOUN
cuesj-323	156	2	:	:	PUNCT
cuesj-323	156	3	•	•	NUM
cuesj-323	156	4	oi	oi	INTJ
cuesj-323	156	5	:	:	PUNCT
cuesj-323	156	6	ith	ith	PROPN
cuesj-323	156	7	order	order	NOUN
cuesj-323	156	8	•	•	ADP
cuesj-323	156	9	qi	qi	PROPN
cuesj-323	156	10	:	:	PUNCT
cuesj-323	156	11	ith	ith	PROPN
cuesj-323	156	12	order	order	NOUN
cuesj-323	156	13	demanded	demand	VERB
cuesj-323	156	14	quantity	quantity	NOUN
cuesj-323	156	15	•	•	NOUN
cuesj-323	156	16	(	(	PUNCT
cuesj-323	156	17	ei	ei	PROPN
cuesj-323	156	18	,	,	PUNCT
cuesj-323	156	19	li	li	PROPN
cuesj-323	156	20	):	):	PUNCT
cuesj-323	156	21	ith	ith	PROPN
cuesj-323	156	22	order	order	NOUN
cuesj-323	156	23	time	time	NOUN
cuesj-323	156	24	window	window	NOUN
cuesj-323	156	25	•	•	NOUN
cuesj-323	156	26	o	o	NOUN
cuesj-323	156	27	:	:	PUNCT
cuesj-323	156	28	orders	order	NOUN
cuesj-323	156	29	list	list	VERB
cuesj-323	156	30	•	•	NOUN
cuesj-323	156	31	vi	vi	PROPN
cuesj-323	156	32	:	:	PUNCT
cuesj-323	156	33	ith	ith	PROPN
cuesj-323	156	34	vehicle	vehicle	NOUN
cuesj-323	156	35	-	-	PUNCT
cuesj-323	156	36	driver	driver	PROPN
cuesj-323	156	37	•	•	NUM
cuesj-323	156	38	ci	ci	NOUN
cuesj-323	156	39	:	:	PUNCT
cuesj-323	156	40	ith	ith	PROPN
cuesj-323	156	41	vehicle	vehicle	NOUN
cuesj-323	156	42	constraint	constraint	NOUN
cuesj-323	156	43	capacity	capacity	NOUN
cuesj-323	156	44	•	•	PRON
cuesj-323	156	45	cai	cai	X
cuesj-323	156	46	:	:	PUNCT
cuesj-323	156	47	ith	ith	PROPN
cuesj-323	156	48	vehicle	vehicle	NOUN
cuesj-323	156	49	allocated	allocate	VERB
cuesj-323	156	50	capacity	capacity	NOUN
cuesj-323	156	51	•	•	NOUN
cuesj-323	156	52	(	(	PUNCT
cuesj-323	156	53	ai	ai	PROPN
cuesj-323	156	54	,	,	PUNCT
cuesj-323	156	55	bi	bi	NOUN
cuesj-323	156	56	):	):	PUNCT
cuesj-323	156	57	ith	ith	PROPN
cuesj-323	156	58	vehicle	vehicle	NOUN
cuesj-323	156	59	-	-	PUNCT
cuesj-323	156	60	driver	driver	NOUN
cuesj-323	156	61	operating	operating	NOUN
cuesj-323	156	62	shift	shift	NOUN
cuesj-323	156	63	•	•	ADP
cuesj-323	156	64	v	v	NOUN
cuesj-323	156	65	:	:	PUNCT
cuesj-323	156	66	vehicle	vehicle	NOUN
cuesj-323	156	67	-	-	PUNCT
cuesj-323	156	68	driver	driver	NOUN
cuesj-323	156	69	entities	entity	NOUN
cuesj-323	156	70	list	list	VERB
cuesj-323	156	71	routing	routing	NOUN
cuesj-323	156	72	rules	rule	NOUN
cuesj-323	156	73	are	be	AUX
cuesj-323	156	74	concerned	concern	VERB
cuesj-323	156	75	with	with	ADP
cuesj-323	156	76	making	make	VERB
cuesj-323	156	77	decisions	decision	NOUN
cuesj-323	156	78	with	with	ADP
cuesj-323	156	79	the	the	DET
cuesj-323	156	80	cluster	cluster	NOUN
cuesj-323	156	81	agent	agent	NOUN
cuesj-323	156	82	to	to	PART
cuesj-323	156	83	serve	serve	VERB
cuesj-323	156	84	next	next	ADV
cuesj-323	156	85	.	.	PUNCT
cuesj-323	157	1	a	a	DET
cuesj-323	157	2	decision	decision	NOUN
cuesj-323	157	3	could	could	AUX
cuesj-323	157	4	be	be	AUX
cuesj-323	157	5	based	base	VERB
cuesj-323	157	6	on	on	ADP
cuesj-323	157	7	the	the	DET
cuesj-323	157	8	earliest	early	ADJ
cuesj-323	157	9	early	early	ADJ
cuesj-323	157	10	time	time	NOUN
cuesj-323	157	11	window	window	NOUN
cuesj-323	157	12	,	,	PUNCT
cuesj-323	157	13	nearest	near	ADJ
cuesj-323	157	14	to	to	ADP
cuesj-323	157	15	the	the	DET
cuesj-323	157	16	current	current	ADJ
cuesj-323	157	17	drivervehicle	drivervehicle	NOUN
cuesj-323	157	18	location	location	NOUN
cuesj-323	157	19	,	,	PUNCT
cuesj-323	157	20	or	or	CCONJ
cuesj-323	157	21	with	with	ADP
cuesj-323	157	22	the	the	DET
cuesj-323	157	23	earliest	early	ADJ
cuesj-323	157	24	possible	possible	ADJ
cuesj-323	157	25	arrival	arrival	NOUN
cuesj-323	157	26	time	time	NOUN
cuesj-323	157	27	.	.	PUNCT
cuesj-323	158	1	the	the	DET
cuesj-323	158	2	latest	late	ADJ
cuesj-323	158	3	rule	rule	NOUN
cuesj-323	158	4	is	be	AUX
cuesj-323	158	5	represented	represent	VERB
cuesj-323	158	6	by	by	ADP
cuesj-323	158	7	a	a	DET
cuesj-323	158	8	pseudocode	pseudocode	NOUN
cuesj-323	158	9	shown	show	VERB
cuesj-323	158	10	in	in	ADP
cuesj-323	158	11	figure	figure	NOUN
cuesj-323	158	12	7	7	NUM
cuesj-323	158	13	,	,	PUNCT
cuesj-323	158	14	where	where	SCONJ
cuesj-323	158	15	it	it	PRON
cuesj-323	158	16	performs	perform	VERB
cuesj-323	158	17	calculations	calculation	NOUN
cuesj-323	158	18	of	of	ADP
cuesj-323	158	19	possible	possible	ADJ
cuesj-323	158	20	arrival	arrival	NOUN
cuesj-323	158	21	time	time	NOUN
cuesj-323	158	22	for	for	ADP
cuesj-323	158	23	each	each	DET
cuesj-323	158	24	order	order	NOUN
cuesj-323	158	25	in	in	ADP
cuesj-323	158	26	the	the	DET
cuesj-323	158	27	cluster	cluster	NOUN
cuesj-323	158	28	list	list	NOUN
cuesj-323	158	29	then	then	ADV
cuesj-323	158	30	sorting	sort	VERB
cuesj-323	158	31	them	they	PRON
cuesj-323	158	32	based	base	VERB
cuesj-323	158	33	on	on	ADP
cuesj-323	158	34	the	the	DET
cuesj-323	158	35	earliest	early	ADJ
cuesj-323	158	36	arrival	arrival	NOUN
cuesj-323	158	37	time	time	NOUN
cuesj-323	158	38	.	.	PUNCT
cuesj-323	159	1	the	the	DET
cuesj-323	159	2	rule	rule	NOUN
cuesj-323	159	3	then	then	ADV
cuesj-323	159	4	allocates	allocate	VERB
cuesj-323	159	5	the	the	DET
cuesj-323	159	6	earliest	early	ADJ
cuesj-323	159	7	order	order	NOUN
cuesj-323	159	8	arrival	arrival	NOUN
cuesj-323	159	9	if	if	SCONJ
cuesj-323	159	10	it	it	PRON
cuesj-323	159	11	satisfies	satisfy	VERB
cuesj-323	159	12	the	the	DET
cuesj-323	159	13	time	time	NOUN
cuesj-323	159	14	window	window	NOUN
cuesj-323	159	15	constraint	constraint	NOUN
cuesj-323	159	16	.	.	PUNCT
cuesj-323	160	1	notations	notation	NOUN
cuesj-323	160	2	:	:	PUNCT
cuesj-323	160	3	•	•	NUM
cuesj-323	160	4	oi	oi	INTJ
cuesj-323	160	5	:	:	PUNCT
cuesj-323	160	6	ith	ith	PROPN
cuesj-323	160	7	order	order	NOUN
cuesj-323	160	8	•	•	NOUN
cuesj-323	160	9	(	(	PUNCT
cuesj-323	160	10	ei	ei	PROPN
cuesj-323	160	11	,	,	PUNCT
cuesj-323	160	12	li	li	PROPN
cuesj-323	160	13	):	):	PUNCT
cuesj-323	160	14	ith	ith	PROPN
cuesj-323	160	15	order	order	NOUN
cuesj-323	160	16	time	time	NOUN
cuesj-323	160	17	window	window	NOUN
cuesj-323	160	18	•	•	NOUN
cuesj-323	160	19	oc	oc	PROPN
cuesj-323	160	20	:	:	PUNCT
cuesj-323	160	21	remaining	remain	VERB
cuesj-323	160	22	orders	order	NOUN
cuesj-323	160	23	in	in	ADP
cuesj-323	160	24	the	the	DET
cuesj-323	160	25	cluster	cluster	NOUN
cuesj-323	160	26	list	list	NOUN
cuesj-323	160	27	•	•	ADP
cuesj-323	160	28	to	to	PART
cuesj-323	160	29	:	:	PUNCT
cuesj-323	160	30	time	time	NOUN
cuesj-323	160	31	needed	need	VERB
cuesj-323	160	32	to	to	PART
cuesj-323	160	33	reach	reach	VERB
cuesj-323	160	34	the	the	DET
cuesj-323	160	35	ith	ith	PROPN
cuesj-323	160	36	order	order	NOUN
cuesj-323	160	37	•	•	NOUN
cuesj-323	160	38	ct	ct	NOUN
cuesj-323	160	39	:	:	PUNCT
cuesj-323	160	40	current	current	ADJ
cuesj-323	160	41	time	time	NOUN
cuesj-323	160	42	•	•	ADP
cuesj-323	160	43	arri	arri	NOUN
cuesj-323	160	44	:	:	PUNCT
cuesj-323	160	45	arrival	arrival	NOUN
cuesj-323	160	46	time	time	NOUN
cuesj-323	160	47	at	at	ADP
cuesj-323	160	48	the	the	DET
cuesj-323	160	49	ith	ith	PROPN
cuesj-323	160	50	order	order	NOUN
cuesj-323	160	51	as	as	SCONJ
cuesj-323	160	52	this	this	PRON
cuesj-323	160	53	is	be	AUX
cuesj-323	160	54	still	still	ADV
cuesj-323	160	55	ongoing	ongoing	ADJ
cuesj-323	160	56	research	research	NOUN
cuesj-323	160	57	,	,	PUNCT
cuesj-323	160	58	more	more	ADJ
cuesj-323	160	59	work	work	NOUN
cuesj-323	160	60	has	have	VERB
cuesj-323	160	61	to	to	PART
cuesj-323	160	62	be	be	AUX
cuesj-323	160	63	done	do	VERB
cuesj-323	160	64	to	to	PART
cuesj-323	160	65	develop	develop	VERB
cuesj-323	160	66	rules	rule	NOUN
cuesj-323	160	67	in	in	ADP
cuesj-323	160	68	each	each	DET
cuesj-323	160	69	category	category	NOUN
cuesj-323	160	70	.	.	PUNCT
cuesj-323	161	1	another	another	DET
cuesj-323	161	2	category	category	NOUN
cuesj-323	161	3	will	will	AUX
cuesj-323	161	4	be	be	AUX
cuesj-323	161	5	added	add	VERB
cuesj-323	161	6	concerned	concerned	ADJ
cuesj-323	161	7	with	with	ADP
cuesj-323	161	8	the	the	DET
cuesj-323	161	9	exchange	exchange	NOUN
cuesj-323	161	10	rules	rule	NOUN
cuesj-323	161	11	among	among	ADP
cuesj-323	161	12	cluster	cluster	NOUN
cuesj-323	161	13	agents	agent	NOUN
cuesj-323	161	14	.	.	PUNCT
cuesj-323	162	1	figure	figure	VERB
cuesj-323	162	2	5	5	NUM
cuesj-323	162	3	:	:	PUNCT
cuesj-323	162	4	agents	agent	NOUN
cuesj-323	162	5	messaging	message	VERB
cuesj-323	162	6	sequence	sequence	NOUN
cuesj-323	162	7	table	table	NOUN
cuesj-323	162	8	1	1	NUM
cuesj-323	162	9	:	:	PUNCT
cuesj-323	162	10	rules	rule	VERB
cuesj-323	162	11	categories	category	NOUN
cuesj-323	162	12	allocation	allocation	NOUN
cuesj-323	162	13	rules	rule	VERB
cuesj-323	162	14	1	1	NUM
cuesj-323	162	15	.	.	PUNCT
cuesj-323	163	1	driver	driver	NOUN
cuesj-323	163	2	with	with	ADP
cuesj-323	163	3	longest	long	ADJ
cuesj-323	163	4	operating	operating	NOUN
cuesj-323	163	5	shift	shift	NOUN
cuesj-323	163	6	2	2	NUM
cuesj-323	163	7	.	.	PUNCT
cuesj-323	163	8	vehicle	vehicle	NOUN
cuesj-323	163	9	with	with	ADP
cuesj-323	163	10	longest	long	ADJ
cuesj-323	163	11	operating	operating	NOUN
cuesj-323	163	12	shift	shift	NOUN
cuesj-323	163	13	3	3	NUM
cuesj-323	163	14	.	.	PUNCT
cuesj-323	164	1	driver	driver	NOUN
cuesj-323	164	2	with	with	ADP
cuesj-323	164	3	the	the	DET
cuesj-323	164	4	most	most	ADJ
cuesj-323	164	5	experience	experience	NOUN
cuesj-323	164	6	4	4	NUM
cuesj-323	164	7	.	.	PUNCT
cuesj-323	165	1	driver	driver	NOUN
cuesj-323	165	2	with	with	ADP
cuesj-323	165	3	the	the	DET
cuesj-323	165	4	earliest	early	ADJ
cuesj-323	165	5	operating	operating	NOUN
cuesj-323	165	6	shift	shift	NOUN
cuesj-323	165	7	5	5	NUM
cuesj-323	165	8	.	.	PUNCT
cuesj-323	165	9	vehicle	vehicle	NOUN
cuesj-323	165	10	with	with	ADP
cuesj-323	165	11	the	the	DET
cuesj-323	165	12	earliest	early	ADJ
cuesj-323	165	13	operating	operating	NOUN
cuesj-323	165	14	shift	shift	NOUN
cuesj-323	165	15	clustering	clustering	NOUN
cuesj-323	165	16	rules	rule	NOUN
cuesj-323	165	17	1	1	NUM
cuesj-323	165	18	.	.	PUNCT
cuesj-323	165	19	earliest	early	ADJ
cuesj-323	165	20	early	early	ADJ
cuesj-323	165	21	time	time	NOUN
cuesj-323	165	22	window	window	NOUN
cuesj-323	165	23	2	2	NUM
cuesj-323	165	24	.	.	PUNCT
cuesj-323	165	25	nearest	near	ADJ
cuesj-323	165	26	vehicle	vehicle	NOUN
cuesj-323	165	27	-	-	PUNCT
cuesj-323	165	28	driver	driver	NOUN
cuesj-323	165	29	3	3	NUM
cuesj-323	165	30	.	.	PUNCT
cuesj-323	166	1	both	both	CCONJ
cuesj-323	166	2	with	with	ADP
cuesj-323	166	3	early	early	ADJ
cuesj-323	166	4	time	time	NOUN
cuesj-323	166	5	window	window	NOUN
cuesj-323	166	6	priority	priority	NOUN
cuesj-323	166	7	routing	routing	NOUN
cuesj-323	166	8	rules	rule	NOUN
cuesj-323	166	9	1	1	NUM
cuesj-323	166	10	.	.	PUNCT
cuesj-323	166	11	earliest	early	ADJ
cuesj-323	166	12	early	early	ADJ
cuesj-323	166	13	time	time	NOUN
cuesj-323	166	14	window	window	NOUN
cuesj-323	166	15	2	2	NUM
cuesj-323	166	16	.	.	PUNCT
cuesj-323	166	17	nearest	near	ADJ
cuesj-323	166	18	order	order	NOUN
cuesj-323	166	19	3	3	NUM
cuesj-323	166	20	.	.	PUNCT
cuesj-323	166	21	earliest	early	ADJ
cuesj-323	166	22	arrival	arrival	NOUN
cuesj-323	166	23	time	time	NOUN
cuesj-323	166	24	figure	figure	NOUN
cuesj-323	166	25	6	6	NUM
cuesj-323	166	26	:	:	PUNCT
cuesj-323	166	27	clustering	cluster	VERB
cuesj-323	166	28	rule	rule	NOUN
cuesj-323	166	29	based	base	VERB
cuesj-323	166	30	on	on	ADP
cuesj-323	166	31	earliest	early	ADJ
cuesj-323	166	32	time	time	NOUN
cuesj-323	166	33	window	window	NOUN
cuesj-323	166	34	and	and	CCONJ
cuesj-323	166	35	distance	distance	NOUN
cuesj-323	166	36	abu	abu	PROPN
cuesj-323	166	37	-	-	PUNCT
cuesj-323	166	38	monshar	monshar	PROPN
cuesj-323	166	39	,	,	PUNCT
cuesj-323	166	40	et	et	PROPN
cuesj-323	166	41	al	al	PROPN
cuesj-323	166	42	.	.	PROPN
cuesj-323	166	43	:	:	PUNCT
cuesj-323	166	44	vehicle	vehicle	NOUN
cuesj-323	166	45	breakdown	breakdown	NOUN
cuesj-323	166	46	in	in	ADP
cuesj-323	166	47	dvrp	dvrp	PROPN
cuesj-323	166	48	7	7	NUM
cuesj-323	166	49	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	166	50	cuesj	cuesj	ADJ
cuesj-323	166	51	2021	2021	NUM
cuesj-323	166	52	,	,	PUNCT
cuesj-323	166	53	5	5	NUM
cuesj-323	166	54	(	(	PUNCT
cuesj-323	166	55	1	1	NUM
cuesj-323	166	56	):	):	PUNCT
cuesj-323	166	57	1	1	NUM
cuesj-323	166	58	-	-	SYM
cuesj-323	166	59	10	10	NUM
cuesj-323	166	60	experimentation	experimentation	NOUN
cuesj-323	166	61	and	and	CCONJ
cuesj-323	166	62	results	result	VERB
cuesj-323	166	63	analysis	analysis	NOUN
cuesj-323	166	64	the	the	DET
cuesj-323	166	65	abm	abm	PROPN
cuesj-323	166	66	system	system	NOUN
cuesj-323	166	67	has	have	AUX
cuesj-323	166	68	been	be	AUX
cuesj-323	166	69	partially	partially	ADV
cuesj-323	166	70	developed	develop	VERB
cuesj-323	166	71	,	,	PUNCT
cuesj-323	166	72	without	without	ADP
cuesj-323	166	73	vehicle	vehicle	NOUN
cuesj-323	166	74	breakdown	breakdown	NOUN
cuesj-323	166	75	,	,	PUNCT
cuesj-323	166	76	representing	represent	VERB
cuesj-323	166	77	only	only	ADV
cuesj-323	166	78	order	order	NOUN
cuesj-323	166	79	and	and	CCONJ
cuesj-323	166	80	vehicle	vehicle	NOUN
cuesj-323	166	81	agents	agent	NOUN
cuesj-323	166	82	using	use	VERB
cuesj-323	166	83	python	python	NOUN
cuesj-323	166	84	to	to	PART
cuesj-323	166	85	represent	represent	VERB
cuesj-323	166	86	these	these	DET
cuesj-323	166	87	agents	agent	NOUN
cuesj-323	166	88	.	.	PUNCT
cuesj-323	167	1	only	only	ADV
cuesj-323	167	2	one	one	NUM
cuesj-323	167	3	rule	rule	NOUN
cuesj-323	167	4	has	have	AUX
cuesj-323	167	5	been	be	AUX
cuesj-323	167	6	tested	test	VERB
cuesj-323	167	7	:	:	PUNCT
cuesj-323	167	8	the	the	DET
cuesj-323	167	9	pseudocode	pseudocode	NOUN
cuesj-323	167	10	shown	show	VERB
cuesj-323	167	11	in	in	ADP
cuesj-323	167	12	figure	figure	NOUN
cuesj-323	167	13	6	6	NUM
cuesj-323	167	14	represents	represent	VERB
cuesj-323	167	15	orders	order	NOUN
cuesj-323	167	16	allocation	allocation	NOUN
cuesj-323	167	17	with	with	ADP
cuesj-323	167	18	early	early	ADJ
cuesj-323	167	19	time	time	NOUN
cuesj-323	167	20	window	window	NOUN
cuesj-323	167	21	and	and	CCONJ
cuesj-323	167	22	location	location	NOUN
cuesj-323	167	23	priorities	priority	NOUN
cuesj-323	167	24	.	.	PUNCT
cuesj-323	168	1	two	two	NUM
cuesj-323	168	2	scenarios	scenario	NOUN
cuesj-323	168	3	have	have	AUX
cuesj-323	168	4	been	be	AUX
cuesj-323	168	5	randomly	randomly	ADV
cuesj-323	168	6	generated	generate	VERB
cuesj-323	168	7	;	;	PUNCT
cuesj-323	168	8	the	the	DET
cuesj-323	168	9	first	first	ADJ
cuesj-323	168	10	is	be	AUX
cuesj-323	168	11	with	with	ADP
cuesj-323	168	12	200	200	NUM
cuesj-323	168	13	customers	customer	NOUN
cuesj-323	168	14	while	while	SCONJ
cuesj-323	168	15	the	the	DET
cuesj-323	168	16	other	other	ADJ
cuesj-323	168	17	is	be	AUX
cuesj-323	168	18	500	500	NUM
cuesj-323	168	19	.	.	PUNCT
cuesj-323	169	1	both	both	DET
cuesj-323	169	2	problems	problem	NOUN
cuesj-323	169	3	have	have	VERB
cuesj-323	169	4	25	25	NUM
cuesj-323	169	5	vehicles	vehicle	NOUN
cuesj-323	169	6	.	.	PUNCT
cuesj-323	170	1	performing	perform	VERB
cuesj-323	170	2	experiments	experiment	NOUN
cuesj-323	170	3	with	with	ADP
cuesj-323	170	4	many	many	ADJ
cuesj-323	170	5	customers	customer	NOUN
cuesj-323	170	6	is	be	AUX
cuesj-323	170	7	to	to	PART
cuesj-323	170	8	validate	validate	VERB
cuesj-323	170	9	the	the	DET
cuesj-323	170	10	developed	develop	VERB
cuesj-323	170	11	rule	rule	NOUN
cuesj-323	170	12	.	.	PUNCT
cuesj-323	171	1	the	the	DET
cuesj-323	171	2	problem	problem	NOUN
cuesj-323	171	3	map	map	NOUN
cuesj-323	171	4	of	of	ADP
cuesj-323	171	5	both	both	PRON
cuesj-323	171	6	of	of	ADP
cuesj-323	171	7	the	the	DET
cuesj-323	171	8	problems	problem	NOUN
cuesj-323	171	9	is	be	AUX
cuesj-323	171	10	represented	represent	VERB
cuesj-323	171	11	in	in	ADP
cuesj-323	171	12	figures	figure	NOUN
cuesj-323	171	13	8	8	NUM
cuesj-323	171	14	and	and	CCONJ
cuesj-323	171	15	9	9	NUM
cuesj-323	171	16	,	,	PUNCT
cuesj-323	171	17	respectively	respectively	ADV
cuesj-323	171	18	.	.	PUNCT
cuesj-323	172	1	for	for	ADP
cuesj-323	172	2	each	each	DET
cuesj-323	172	3	problem	problem	NOUN
cuesj-323	172	4	,	,	PUNCT
cuesj-323	172	5	an	an	DET
cuesj-323	172	6	allocation	allocation	NOUN
cuesj-323	172	7	solution	solution	NOUN
cuesj-323	172	8	is	be	AUX
cuesj-323	172	9	provided	provide	VERB
cuesj-323	172	10	by	by	ADP
cuesj-323	172	11	generating	generate	VERB
cuesj-323	172	12	a	a	DET
cuesj-323	172	13	color	color	NOUN
cuesj-323	172	14	-	-	PUNCT
cuesj-323	172	15	coded	code	VERB
cuesj-323	172	16	allocation	allocation	NOUN
cuesj-323	172	17	map	map	NOUN
cuesj-323	172	18	where	where	SCONJ
cuesj-323	172	19	each	each	DET
cuesj-323	172	20	color	color	NOUN
cuesj-323	172	21	represents	represent	VERB
cuesj-323	172	22	a	a	DET
cuesj-323	172	23	group	group	NOUN
cuesj-323	172	24	of	of	ADP
cuesj-323	172	25	orders	order	NOUN
cuesj-323	172	26	and	and	CCONJ
cuesj-323	172	27	one	one	NUM
cuesj-323	172	28	vehicle	vehicle	NOUN
cuesj-323	172	29	,	,	PUNCT
cuesj-323	172	30	number	number	NOUN
cuesj-323	172	31	of	of	ADP
cuesj-323	172	32	customers	customer	NOUN
cuesj-323	172	33	allocated	allocate	VERB
cuesj-323	172	34	to	to	ADP
cuesj-323	172	35	vehicles	vehicle	NOUN
cuesj-323	172	36	chart	chart	NOUN
cuesj-323	172	37	and	and	CCONJ
cuesj-323	172	38	vehicle	vehicle	NOUN
cuesj-323	172	39	capacity	capacity	NOUN
cuesj-323	172	40	utilization	utilization	NOUN
cuesj-323	172	41	chart	chart	NOUN
cuesj-323	172	42	.	.	PUNCT
cuesj-323	173	1	for	for	ADP
cuesj-323	173	2	problem	problem	NOUN
cuesj-323	173	3	1	1	NUM
cuesj-323	173	4	,	,	PUNCT
cuesj-323	173	5	the	the	DET
cuesj-323	173	6	system	system	NOUN
cuesj-323	173	7	has	have	AUX
cuesj-323	173	8	generated	generate	VERB
cuesj-323	173	9	an	an	DET
cuesj-323	173	10	allocation	allocation	NOUN
cuesj-323	173	11	solution	solution	NOUN
cuesj-323	173	12	shown	show	VERB
cuesj-323	173	13	in	in	ADP
cuesj-323	173	14	the	the	DET
cuesj-323	173	15	color	color	NOUN
cuesj-323	173	16	-	-	PUNCT
cuesj-323	173	17	coded	code	VERB
cuesj-323	173	18	map	map	NOUN
cuesj-323	173	19	(	(	PUNCT
cuesj-323	173	20	figure	figure	NOUN
cuesj-323	173	21	10	10	NUM
cuesj-323	173	22	)	)	PUNCT
cuesj-323	173	23	.	.	PUNCT
cuesj-323	174	1	it	it	PRON
cuesj-323	174	2	can	can	AUX
cuesj-323	174	3	be	be	AUX
cuesj-323	174	4	seen	see	VERB
cuesj-323	174	5	that	that	SCONJ
cuesj-323	174	6	this	this	DET
cuesj-323	174	7	rule	rule	NOUN
cuesj-323	174	8	works	work	VERB
cuesj-323	174	9	successfully	successfully	ADV
cuesj-323	174	10	in	in	ADP
cuesj-323	174	11	providing	provide	VERB
cuesj-323	174	12	reasonable	reasonable	ADJ
cuesj-323	174	13	allocation	allocation	NOUN
cuesj-323	174	14	of	of	ADP
cuesj-323	174	15	orders	order	NOUN
cuesj-323	174	16	concerning	concern	VERB
cuesj-323	174	17	their	their	PRON
cuesj-323	174	18	location	location	NOUN
cuesj-323	174	19	,	,	PUNCT
cuesj-323	174	20	although	although	SCONJ
cuesj-323	174	21	the	the	DET
cuesj-323	174	22	rule	rule	NOUN
cuesj-323	174	23	prioritizes	prioritize	VERB
cuesj-323	174	24	the	the	DET
cuesj-323	174	25	early	early	ADJ
cuesj-323	174	26	time	time	NOUN
cuesj-323	174	27	window	window	NOUN
cuesj-323	174	28	first	first	ADV
cuesj-323	174	29	.	.	PUNCT
cuesj-323	175	1	all	all	DET
cuesj-323	175	2	customers	customer	NOUN
cuesj-323	175	3	have	have	AUX
cuesj-323	175	4	been	be	AUX
cuesj-323	175	5	allocated	allocate	VERB
cuesj-323	175	6	for	for	ADP
cuesj-323	175	7	this	this	DET
cuesj-323	175	8	particular	particular	ADJ
cuesj-323	175	9	problem	problem	NOUN
cuesj-323	175	10	,	,	PUNCT
cuesj-323	175	11	and	and	CCONJ
cuesj-323	175	12	there	there	PRON
cuesj-323	175	13	are	be	VERB
cuesj-323	175	14	no	no	DET
cuesj-323	175	15	missing	miss	VERB
cuesj-323	175	16	customers	customer	NOUN
cuesj-323	175	17	.	.	PUNCT
cuesj-323	176	1	figure	figure	VERB
cuesj-323	176	2	11	11	NUM
cuesj-323	176	3	illustrates	illustrate	VERB
cuesj-323	176	4	how	how	SCONJ
cuesj-323	176	5	many	many	ADJ
cuesj-323	176	6	orders	order	NOUN
cuesj-323	176	7	have	have	AUX
cuesj-323	176	8	been	be	AUX
cuesj-323	176	9	allocated	allocate	VERB
cuesj-323	176	10	to	to	ADP
cuesj-323	176	11	each	each	DET
cuesj-323	176	12	vehicle	vehicle	NOUN
cuesj-323	176	13	.	.	PUNCT
cuesj-323	177	1	this	this	DET
cuesj-323	177	2	allocation	allocation	NOUN
cuesj-323	177	3	indicates	indicate	VERB
cuesj-323	177	4	the	the	DET
cuesj-323	177	5	amount	amount	NOUN
cuesj-323	177	6	of	of	ADP
cuesj-323	177	7	workload	workload	NOUN
cuesj-323	177	8	needed	need	VERB
cuesj-323	177	9	from	from	ADP
cuesj-323	177	10	each	each	DET
cuesj-323	177	11	vehicle	vehicle	NOUN
cuesj-323	177	12	,	,	PUNCT
cuesj-323	177	13	given	give	VERB
cuesj-323	177	14	that	that	SCONJ
cuesj-323	177	15	the	the	DET
cuesj-323	177	16	vehicle	vehicle	NOUN
cuesj-323	177	17	has	have	AUX
cuesj-323	177	18	to	to	PART
cuesj-323	177	19	travel	travel	VERB
cuesj-323	177	20	across	across	ADP
cuesj-323	177	21	all	all	DET
cuesj-323	177	22	its	its	PRON
cuesj-323	177	23	allocated	allocate	VERB
cuesj-323	177	24	customers	customer	NOUN
cuesj-323	177	25	.	.	PUNCT
cuesj-323	178	1	for	for	ADP
cuesj-323	178	2	example	example	NOUN
cuesj-323	178	3	,	,	PUNCT
cuesj-323	178	4	vehicle	vehicle	NOUN
cuesj-323	178	5	1	1	NUM
cuesj-323	178	6	has	have	AUX
cuesj-323	178	7	been	be	AUX
cuesj-323	178	8	allocated	allocate	VERB
cuesj-323	178	9	five	five	NUM
cuesj-323	178	10	customers	customer	NOUN
cuesj-323	178	11	meaning	mean	VERB
cuesj-323	178	12	it	it	PRON
cuesj-323	178	13	might	might	AUX
cuesj-323	178	14	be	be	AUX
cuesj-323	178	15	obliged	oblige	VERB
cuesj-323	178	16	to	to	PART
cuesj-323	178	17	travel	travel	VERB
cuesj-323	178	18	6	6	NUM
cuesj-323	178	19	times	time	NOUN
cuesj-323	178	20	given	give	VERB
cuesj-323	178	21	that	that	SCONJ
cuesj-323	178	22	it	it	PRON
cuesj-323	178	23	should	should	AUX
cuesj-323	178	24	end	end	VERB
cuesj-323	178	25	at	at	ADP
cuesj-323	178	26	the	the	DET
cuesj-323	178	27	depot	depot	NOUN
cuesj-323	178	28	.	.	PUNCT
cuesj-323	179	1	figure	figure	NOUN
cuesj-323	179	2	12	12	NUM
cuesj-323	179	3	shows	show	VERB
cuesj-323	179	4	the	the	DET
cuesj-323	179	5	capacity	capacity	NOUN
cuesj-323	179	6	utilization	utilization	NOUN
cuesj-323	179	7	of	of	ADP
cuesj-323	179	8	each	each	DET
cuesj-323	179	9	vehicle	vehicle	NOUN
cuesj-323	179	10	.	.	PUNCT
cuesj-323	180	1	since	since	SCONJ
cuesj-323	180	2	each	each	DET
cuesj-323	180	3	customer	customer	NOUN
cuesj-323	180	4	has	have	VERB
cuesj-323	180	5	a	a	DET
cuesj-323	180	6	specific	specific	ADJ
cuesj-323	180	7	demand	demand	NOUN
cuesj-323	180	8	to	to	PART
cuesj-323	180	9	be	be	AUX
cuesj-323	180	10	either	either	CCONJ
cuesj-323	180	11	collected	collect	VERB
cuesj-323	180	12	or	or	CCONJ
cuesj-323	180	13	delivered	deliver	VERB
cuesj-323	180	14	;	;	PUNCT
cuesj-323	180	15	hence	hence	ADV
cuesj-323	180	16	,	,	PUNCT
cuesj-323	180	17	it	it	PRON
cuesj-323	180	18	is	be	AUX
cuesj-323	180	19	vital	vital	ADJ
cuesj-323	180	20	to	to	PART
cuesj-323	180	21	consider	consider	VERB
cuesj-323	180	22	the	the	DET
cuesj-323	180	23	vehicle	vehicle	NOUN
cuesj-323	180	24	’s	’s	PART
cuesj-323	180	25	capacity	capacity	NOUN
cuesj-323	180	26	in	in	ADP
cuesj-323	180	27	the	the	DET
cuesj-323	180	28	allocation	allocation	NOUN
cuesj-323	180	29	process	process	NOUN
cuesj-323	180	30	.	.	PUNCT
cuesj-323	181	1	it	it	PRON
cuesj-323	181	2	can	can	AUX
cuesj-323	181	3	be	be	AUX
cuesj-323	181	4	seen	see	VERB
cuesj-323	181	5	that	that	SCONJ
cuesj-323	181	6	most	most	ADJ
cuesj-323	181	7	of	of	ADP
cuesj-323	181	8	the	the	DET
cuesj-323	181	9	vehicles	vehicle	NOUN
cuesj-323	181	10	are	be	AUX
cuesj-323	181	11	highly	highly	ADV
cuesj-323	181	12	utilized	utilize	VERB
cuesj-323	181	13	,	,	PUNCT
cuesj-323	181	14	above	above	ADP
cuesj-323	181	15	60	60	NUM
cuesj-323	181	16	%	%	NOUN
cuesj-323	181	17	,	,	PUNCT
cuesj-323	181	18	while	while	SCONJ
cuesj-323	181	19	only	only	ADV
cuesj-323	181	20	three	three	NUM
cuesj-323	181	21	vehicles	vehicle	NOUN
cuesj-323	181	22	have	have	VERB
cuesj-323	181	23	utilization	utilization	NOUN
cuesj-323	181	24	below	below	ADP
cuesj-323	181	25	60	60	NUM
cuesj-323	181	26	%	%	NOUN
cuesj-323	181	27	.	.	PUNCT
cuesj-323	182	1	this	this	DET
cuesj-323	182	2	utilization	utilization	NOUN
cuesj-323	182	3	can	can	AUX
cuesj-323	182	4	be	be	AUX
cuesj-323	182	5	judged	judge	VERB
cuesj-323	182	6	to	to	PART
cuesj-323	182	7	be	be	AUX
cuesj-323	182	8	a	a	DET
cuesj-323	182	9	higher	high	ADJ
cuesj-323	182	10	quantity	quantity	NOUN
cuesj-323	182	11	loaded	load	VERB
cuesj-323	182	12	problem	problem	NOUN
cuesj-323	182	13	.	.	PUNCT
cuesj-323	183	1	contrary	contrary	ADJ
cuesj-323	183	2	to	to	ADP
cuesj-323	183	3	the	the	DET
cuesj-323	183	4	previous	previous	ADJ
cuesj-323	183	5	problem	problem	NOUN
cuesj-323	183	6	,	,	PUNCT
cuesj-323	183	7	the	the	DET
cuesj-323	183	8	number	number	NOUN
cuesj-323	183	9	of	of	ADP
cuesj-323	183	10	customers	customer	NOUN
cuesj-323	183	11	generated	generate	VERB
cuesj-323	183	12	is	be	AUX
cuesj-323	183	13	increased	increase	VERB
cuesj-323	183	14	to	to	ADP
cuesj-323	183	15	500	500	NUM
cuesj-323	183	16	to	to	PART
cuesj-323	183	17	test	test	VERB
cuesj-323	183	18	the	the	DET
cuesj-323	183	19	validity	validity	NOUN
cuesj-323	183	20	of	of	ADP
cuesj-323	183	21	the	the	DET
cuesj-323	183	22	proposed	propose	VERB
cuesj-323	183	23	clustering	clustering	NOUN
cuesj-323	183	24	rule	rule	NOUN
cuesj-323	183	25	.	.	PUNCT
cuesj-323	184	1	figure	figure	NOUN
cuesj-323	184	2	9	9	NUM
cuesj-323	184	3	shows	show	VERB
cuesj-323	184	4	the	the	DET
cuesj-323	184	5	problem	problem	NOUN
cuesj-323	184	6	figure	figure	NOUN
cuesj-323	184	7	10	10	NUM
cuesj-323	184	8	:	:	PUNCT
cuesj-323	184	9	problem	problem	NOUN
cuesj-323	184	10	1	1	NUM
cuesj-323	184	11	allocated	allocate	VERB
cuesj-323	184	12	map	map	NOUN
cuesj-323	184	13	figure	figure	NOUN
cuesj-323	184	14	7	7	NUM
cuesj-323	184	15	:	:	PUNCT
cuesj-323	184	16	routing	route	VERB
cuesj-323	184	17	rule	rule	NOUN
cuesj-323	184	18	based	base	VERB
cuesj-323	184	19	on	on	ADP
cuesj-323	184	20	earliest	early	ADJ
cuesj-323	184	21	arrival	arrival	NOUN
cuesj-323	184	22	time	time	NOUN
cuesj-323	184	23	figure	figure	NOUN
cuesj-323	184	24	8	8	NUM
cuesj-323	184	25	:	:	PUNCT
cuesj-323	184	26	problem	problem	NOUN
cuesj-323	184	27	1	1	NUM
cuesj-323	184	28	map	map	NOUN
cuesj-323	184	29	figure	figure	NOUN
cuesj-323	184	30	9	9	NUM
cuesj-323	184	31	:	:	PUNCT
cuesj-323	184	32	problem	problem	NOUN
cuesj-323	184	33	2	2	NUM
cuesj-323	184	34	map	map	NOUN
cuesj-323	184	35	figure	figure	NOUN
cuesj-323	184	36	11	11	NUM
cuesj-323	184	37	:	:	PUNCT
cuesj-323	184	38	problem	problem	NOUN
cuesj-323	184	39	1	1	NUM
cuesj-323	184	40	:	:	PUNCT
cuesj-323	184	41	number	number	NOUN
cuesj-323	184	42	of	of	ADP
cuesj-323	184	43	customers	customer	NOUN
cuesj-323	184	44	allocated	allocate	VERB
cuesj-323	184	45	to	to	ADP
cuesj-323	184	46	each	each	DET
cuesj-323	184	47	vehicle	vehicle	NOUN
cuesj-323	184	48	abu	abu	PROPN
cuesj-323	184	49	-	-	PUNCT
cuesj-323	184	50	monshar	monshar	PROPN
cuesj-323	184	51	,	,	PUNCT
cuesj-323	184	52	et	et	PROPN
cuesj-323	184	53	al	al	PROPN
cuesj-323	184	54	.	.	PROPN
cuesj-323	184	55	:	:	PUNCT
cuesj-323	185	1	vehicle	vehicle	NOUN
cuesj-323	185	2	breakdown	breakdown	NOUN
cuesj-323	185	3	in	in	ADP
cuesj-323	185	4	dvrp	dvrp	ADJ
cuesj-323	185	5	8	8	NUM
cuesj-323	185	6	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	185	7	cuesj	cuesj	NOUN
cuesj-323	185	8	2021	2021	NUM
cuesj-323	185	9	,	,	PUNCT
cuesj-323	185	10	5	5	NUM
cuesj-323	185	11	(	(	PUNCT
cuesj-323	185	12	1	1	NUM
cuesj-323	185	13	):	):	PUNCT
cuesj-323	185	14	1	1	NUM
cuesj-323	185	15	-	-	SYM
cuesj-323	185	16	10	10	NUM
cuesj-323	185	17	2	2	NUM
cuesj-323	185	18	map	map	NOUN
cuesj-323	185	19	,	,	PUNCT
cuesj-323	185	20	which	which	PRON
cuesj-323	185	21	is	be	AUX
cuesj-323	185	22	highly	highly	ADV
cuesj-323	185	23	dense	dense	ADJ
cuesj-323	185	24	due	due	ADP
cuesj-323	185	25	to	to	ADP
cuesj-323	185	26	the	the	DET
cuesj-323	185	27	over	over	ADP
cuesj-323	185	28	generation	generation	NOUN
cuesj-323	185	29	of	of	ADP
cuesj-323	185	30	customers	customer	NOUN
cuesj-323	185	31	within	within	ADP
cuesj-323	185	32	this	this	DET
cuesj-323	185	33	limited	limited	ADJ
cuesj-323	185	34	map	map	NOUN
cuesj-323	185	35	setting	setting	NOUN
cuesj-323	185	36	.	.	PUNCT
cuesj-323	186	1	figure	figure	NOUN
cuesj-323	186	2	13	13	NUM
cuesj-323	186	3	illustrates	illustrate	VERB
cuesj-323	186	4	the	the	DET
cuesj-323	186	5	allocation	allocation	NOUN
cuesj-323	186	6	of	of	ADP
cuesj-323	186	7	each	each	DET
cuesj-323	186	8	order	order	NOUN
cuesj-323	186	9	to	to	PART
cuesj-323	186	10	which	which	DET
cuesj-323	186	11	vehicle	vehicle	NOUN
cuesj-323	186	12	.	.	PUNCT
cuesj-323	187	1	it	it	PRON
cuesj-323	187	2	can	can	AUX
cuesj-323	187	3	be	be	AUX
cuesj-323	187	4	noticed	notice	VERB
cuesj-323	187	5	that	that	SCONJ
cuesj-323	187	6	there	there	PRON
cuesj-323	187	7	are	be	VERB
cuesj-323	187	8	99	99	NUM
cuesj-323	187	9	unallocated	unallocated	ADJ
cuesj-323	187	10	customers	customer	NOUN
cuesj-323	187	11	,	,	PUNCT
cuesj-323	187	12	represented	represent	VERB
cuesj-323	187	13	in	in	ADP
cuesj-323	187	14	black	black	ADJ
cuesj-323	187	15	,	,	PUNCT
cuesj-323	187	16	this	this	PRON
cuesj-323	187	17	is	be	AUX
cuesj-323	187	18	explained	explain	VERB
cuesj-323	187	19	because	because	SCONJ
cuesj-323	187	20	of	of	ADP
cuesj-323	187	21	the	the	DET
cuesj-323	187	22	massive	massive	ADJ
cuesj-323	187	23	customers	customer	NOUN
cuesj-323	187	24	’	'	PUNCT
cuesj-323	187	25	increase	increase	NOUN
cuesj-323	187	26	,	,	PUNCT
cuesj-323	187	27	and	and	CCONJ
cuesj-323	187	28	the	the	DET
cuesj-323	187	29	number	number	NOUN
cuesj-323	187	30	of	of	ADP
cuesj-323	187	31	vehicles	vehicle	NOUN
cuesj-323	187	32	is	be	AUX
cuesj-323	187	33	the	the	DET
cuesj-323	187	34	same	same	ADJ
cuesj-323	187	35	compared	compare	VERB
cuesj-323	187	36	to	to	ADP
cuesj-323	187	37	the	the	DET
cuesj-323	187	38	previous	previous	ADJ
cuesj-323	187	39	problem	problem	NOUN
cuesj-323	187	40	.	.	PUNCT
cuesj-323	188	1	the	the	DET
cuesj-323	188	2	number	number	NOUN
cuesj-323	188	3	of	of	ADP
cuesj-323	188	4	allocated	allocate	VERB
cuesj-323	188	5	customers	customer	NOUN
cuesj-323	188	6	per	per	ADP
cuesj-323	188	7	vehicle	vehicle	NOUN
cuesj-323	188	8	has	have	AUX
cuesj-323	188	9	increased	increase	VERB
cuesj-323	188	10	,	,	PUNCT
cuesj-323	188	11	as	as	SCONJ
cuesj-323	188	12	shown	show	VERB
cuesj-323	188	13	in	in	ADP
cuesj-323	188	14	figure	figure	NOUN
cuesj-323	188	15	14	14	NUM
cuesj-323	188	16	,	,	PUNCT
cuesj-323	188	17	as	as	SCONJ
cuesj-323	188	18	the	the	DET
cuesj-323	188	19	increased	increase	VERB
cuesj-323	188	20	demand	demand	NOUN
cuesj-323	188	21	pushed	push	VERB
cuesj-323	188	22	the	the	DET
cuesj-323	188	23	clustering	clustering	ADJ
cuesj-323	188	24	rule	rule	NOUN
cuesj-323	188	25	for	for	ADP
cuesj-323	188	26	more	more	ADJ
cuesj-323	188	27	allocations	allocation	NOUN
cuesj-323	188	28	to	to	ADP
cuesj-323	188	29	vehicles	vehicle	NOUN
cuesj-323	188	30	.	.	PUNCT
cuesj-323	189	1	for	for	ADP
cuesj-323	189	2	each	each	DET
cuesj-323	189	3	vehicle	vehicle	NOUN
cuesj-323	189	4	capacity	capacity	NOUN
cuesj-323	189	5	,	,	PUNCT
cuesj-323	189	6	the	the	DET
cuesj-323	189	7	vehicles	vehicle	NOUN
cuesj-323	189	8	in	in	ADP
cuesj-323	189	9	this	this	DET
cuesj-323	189	10	problem	problem	NOUN
cuesj-323	189	11	have	have	AUX
cuesj-323	189	12	been	be	AUX
cuesj-323	189	13	pushed	push	VERB
cuesj-323	189	14	to	to	ADP
cuesj-323	189	15	nearly	nearly	ADV
cuesj-323	189	16	100	100	NUM
cuesj-323	189	17	%	%	NOUN
cuesj-323	189	18	capacity	capacity	NOUN
cuesj-323	189	19	utilization	utilization	NOUN
cuesj-323	189	20	.	.	PUNCT
cuesj-323	190	1	figure	figure	NOUN
cuesj-323	190	2	15	15	NUM
cuesj-323	190	3	shows	show	VERB
cuesj-323	190	4	the	the	DET
cuesj-323	190	5	utilization	utilization	NOUN
cuesj-323	190	6	of	of	ADP
cuesj-323	190	7	each	each	DET
cuesj-323	190	8	vehicle	vehicle	NOUN
cuesj-323	190	9	in	in	ADP
cuesj-323	190	10	this	this	DET
cuesj-323	190	11	problem	problem	NOUN
cuesj-323	190	12	.	.	PUNCT
cuesj-323	191	1	only	only	ADV
cuesj-323	191	2	four	four	NUM
cuesj-323	191	3	vehicles	vehicle	NOUN
cuesj-323	191	4	did	do	AUX
cuesj-323	191	5	not	not	PART
cuesj-323	191	6	reach	reach	VERB
cuesj-323	191	7	a	a	DET
cuesj-323	191	8	full	full	ADJ
cuesj-323	191	9	100	100	NUM
cuesj-323	191	10	%	%	NOUN
cuesj-323	191	11	utilization	utilization	NOUN
cuesj-323	191	12	.	.	PUNCT
cuesj-323	192	1	it	it	PRON
cuesj-323	192	2	can	can	AUX
cuesj-323	192	3	be	be	AUX
cuesj-323	192	4	noted	note	VERB
cuesj-323	192	5	that	that	SCONJ
cuesj-323	192	6	the	the	DET
cuesj-323	192	7	proposed	propose	VERB
cuesj-323	192	8	clustering	clustering	NOUN
cuesj-323	192	9	rule	rule	NOUN
cuesj-323	192	10	is	be	AUX
cuesj-323	192	11	functioning	function	VERB
cuesj-323	192	12	as	as	ADV
cuesj-323	192	13	indented	indent	VERB
cuesj-323	192	14	within	within	ADP
cuesj-323	192	15	the	the	DET
cuesj-323	192	16	partially	partially	ADV
cuesj-323	192	17	developed	develop	VERB
cuesj-323	192	18	abm	abm	PROPN
cuesj-323	192	19	model	model	NOUN
cuesj-323	192	20	with	with	ADP
cuesj-323	192	21	the	the	DET
cuesj-323	192	22	only	only	ADJ
cuesj-323	192	23	customer	customer	NOUN
cuesj-323	192	24	and	and	CCONJ
cuesj-323	192	25	vehicle	vehicle	NOUN
cuesj-323	192	26	agents	agent	NOUN
cuesj-323	192	27	.	.	PUNCT
cuesj-323	193	1	it	it	PRON
cuesj-323	193	2	provides	provide	VERB
cuesj-323	193	3	simple	simple	ADJ
cuesj-323	193	4	allocation	allocation	NOUN
cuesj-323	193	5	considering	consider	VERB
cuesj-323	193	6	the	the	DET
cuesj-323	193	7	capacity	capacity	NOUN
cuesj-323	193	8	and	and	CCONJ
cuesj-323	193	9	time	time	NOUN
cuesj-323	193	10	constraints	constraint	NOUN
cuesj-323	193	11	of	of	ADP
cuesj-323	193	12	the	the	DET
cuesj-323	193	13	vehicles	vehicle	NOUN
cuesj-323	193	14	and	and	CCONJ
cuesj-323	193	15	their	their	PRON
cuesj-323	193	16	possible	possible	ADJ
cuesj-323	193	17	adoption	adoption	NOUN
cuesj-323	193	18	to	to	ADP
cuesj-323	193	19	different	different	ADJ
cuesj-323	193	20	problem	problem	NOUN
cuesj-323	193	21	sizes	size	NOUN
cuesj-323	193	22	by	by	ADP
cuesj-323	193	23	rejecting	reject	VERB
cuesj-323	193	24	the	the	DET
cuesj-323	193	25	customers	customer	NOUN
cuesj-323	193	26	over	over	ADP
cuesj-323	193	27	the	the	DET
cuesj-323	193	28	overall	overall	ADJ
cuesj-323	193	29	capacity	capacity	NOUN
cuesj-323	193	30	.	.	PUNCT
cuesj-323	194	1	conclusion	conclusion	NOUN
cuesj-323	194	2	and	and	CCONJ
cuesj-323	194	3	future	future	ADJ
cuesj-323	194	4	work	work	NOUN
cuesj-323	194	5	this	this	DET
cuesj-323	194	6	paper	paper	NOUN
cuesj-323	194	7	adopted	adopt	VERB
cuesj-323	194	8	the	the	DET
cuesj-323	194	9	abm	abm	PROPN
cuesj-323	194	10	approach	approach	NOUN
cuesj-323	194	11	to	to	PART
cuesj-323	194	12	propose	propose	VERB
cuesj-323	194	13	a	a	DET
cuesj-323	194	14	framework	framework	NOUN
cuesj-323	194	15	that	that	PRON
cuesj-323	194	16	deals	deal	VERB
cuesj-323	194	17	with	with	ADP
cuesj-323	194	18	vrp	vrp	PROPN
cuesj-323	194	19	under	under	ADP
cuesj-323	194	20	dynamic	dynamic	ADJ
cuesj-323	194	21	vehicle	vehicle	NOUN
cuesj-323	194	22	breakdowns	breakdown	NOUN
cuesj-323	194	23	in	in	ADP
cuesj-323	194	24	continuous	continuous	ADJ
cuesj-323	194	25	time	time	NOUN
cuesj-323	194	26	.	.	PUNCT
cuesj-323	195	1	modeling	model	VERB
cuesj-323	195	2	this	this	DET
cuesj-323	195	3	problem	problem	NOUN
cuesj-323	195	4	is	be	AUX
cuesj-323	195	5	a	a	DET
cuesj-323	195	6	promising	promising	ADJ
cuesj-323	195	7	opportunity	opportunity	NOUN
cuesj-323	195	8	to	to	PART
cuesj-323	195	9	be	be	AUX
cuesj-323	195	10	more	more	ADV
cuesj-323	195	11	agile	agile	ADJ
cuesj-323	195	12	and	and	CCONJ
cuesj-323	195	13	responsive	responsive	ADJ
cuesj-323	195	14	to	to	ADP
cuesj-323	195	15	dynamic	dynamic	ADJ
cuesj-323	195	16	,	,	PUNCT
cuesj-323	195	17	disruptive	disruptive	ADJ
cuesj-323	195	18	events	event	NOUN
cuesj-323	195	19	in	in	ADP
cuesj-323	195	20	transportation	transportation	NOUN
cuesj-323	195	21	and	and	CCONJ
cuesj-323	195	22	logistics	logistic	NOUN
cuesj-323	195	23	.	.	PUNCT
cuesj-323	196	1	the	the	DET
cuesj-323	196	2	proposed	propose	VERB
cuesj-323	196	3	abm	abm	PROPN
cuesj-323	196	4	model	model	NOUN
cuesj-323	196	5	consists	consist	VERB
cuesj-323	196	6	of	of	ADP
cuesj-323	196	7	two	two	NUM
cuesj-323	196	8	layers	layer	NOUN
cuesj-323	196	9	:	:	PUNCT
cuesj-323	196	10	the	the	DET
cuesj-323	196	11	first	first	ADJ
cuesj-323	196	12	is	be	AUX
cuesj-323	196	13	to	to	PART
cuesj-323	196	14	generate	generate	VERB
cuesj-323	196	15	clusters	cluster	NOUN
cuesj-323	196	16	consisting	consist	VERB
cuesj-323	196	17	of	of	ADP
cuesj-323	196	18	group	group	NOUN
cuesj-323	196	19	of	of	ADP
cuesj-323	196	20	order	order	NOUN
cuesj-323	196	21	agents	agent	NOUN
cuesj-323	196	22	allocated	allocate	VERB
cuesj-323	196	23	to	to	ADP
cuesj-323	196	24	vehicle	vehicle	NOUN
cuesj-323	196	25	and	and	CCONJ
cuesj-323	196	26	driver	driver	NOUN
cuesj-323	196	27	agents	agent	NOUN
cuesj-323	196	28	,	,	PUNCT
cuesj-323	196	29	the	the	DET
cuesj-323	196	30	second	second	ADJ
cuesj-323	196	31	deal	deal	NOUN
cuesj-323	196	32	with	with	ADP
cuesj-323	196	33	running	run	VERB
cuesj-323	196	34	the	the	DET
cuesj-323	196	35	model	model	NOUN
cuesj-323	196	36	,	,	PUNCT
cuesj-323	196	37	routing	routing	NOUN
cuesj-323	196	38	,	,	PUNCT
cuesj-323	196	39	and	and	CCONJ
cuesj-323	196	40	optimization	optimization	NOUN
cuesj-323	196	41	by	by	ADP
cuesj-323	196	42	representing	represent	VERB
cuesj-323	196	43	the	the	DET
cuesj-323	196	44	clusters	cluster	NOUN
cuesj-323	196	45	using	use	VERB
cuesj-323	196	46	clusters	cluster	NOUN
cuesj-323	196	47	agents	agent	NOUN
cuesj-323	196	48	.	.	PUNCT
cuesj-323	197	1	a	a	DET
cuesj-323	197	2	set	set	NOUN
cuesj-323	197	3	of	of	ADP
cuesj-323	197	4	rules	rule	NOUN
cuesj-323	197	5	has	have	AUX
cuesj-323	197	6	also	also	ADV
cuesj-323	197	7	been	be	AUX
cuesj-323	197	8	proposed	propose	VERB
cuesj-323	197	9	to	to	PART
cuesj-323	197	10	govern	govern	VERB
cuesj-323	197	11	the	the	DET
cuesj-323	197	12	agents	agent	NOUN
cuesj-323	197	13	’	'	PUNCT
cuesj-323	197	14	interaction	interaction	NOUN
cuesj-323	197	15	in	in	ADP
cuesj-323	197	16	the	the	DET
cuesj-323	197	17	model	model	NOUN
cuesj-323	197	18	.	.	PUNCT
cuesj-323	198	1	as	as	SCONJ
cuesj-323	198	2	this	this	DET
cuesj-323	198	3	work	work	NOUN
cuesj-323	198	4	is	be	AUX
cuesj-323	198	5	still	still	ADV
cuesj-323	198	6	ongoing	ongoing	ADJ
cuesj-323	198	7	research	research	NOUN
cuesj-323	198	8	,	,	PUNCT
cuesj-323	198	9	the	the	DET
cuesj-323	198	10	model	model	NOUN
cuesj-323	198	11	proposed	propose	VERB
cuesj-323	198	12	here	here	ADV
cuesj-323	198	13	is	be	AUX
cuesj-323	198	14	partially	partially	ADV
cuesj-323	198	15	developed	develop	VERB
cuesj-323	198	16	that	that	PRON
cuesj-323	198	17	represent	represent	VERB
cuesj-323	198	18	only	only	ADV
cuesj-323	198	19	vehicle	vehicle	NOUN
cuesj-323	198	20	and	and	CCONJ
cuesj-323	198	21	customers	customer	NOUN
cuesj-323	198	22	agents	agent	NOUN
cuesj-323	198	23	without	without	ADP
cuesj-323	198	24	breakdowns	breakdown	NOUN
cuesj-323	198	25	,	,	PUNCT
cuesj-323	198	26	and	and	CCONJ
cuesj-323	198	27	only	only	ADV
cuesj-323	198	28	one	one	NUM
cuesj-323	198	29	rule	rule	NOUN
cuesj-323	198	30	,	,	PUNCT
cuesj-323	198	31	a	a	DET
cuesj-323	198	32	clustering	clustering	ADJ
cuesj-323	198	33	rule	rule	NOUN
cuesj-323	198	34	,	,	PUNCT
cuesj-323	198	35	has	have	AUX
cuesj-323	198	36	been	be	AUX
cuesj-323	198	37	programmed	program	VERB
cuesj-323	198	38	and	and	CCONJ
cuesj-323	198	39	tested	test	VERB
cuesj-323	198	40	on	on	ADP
cuesj-323	198	41	two	two	NUM
cuesj-323	198	42	different	different	ADJ
cuesj-323	198	43	problem	problem	NOUN
cuesj-323	198	44	scenarios	scenario	NOUN
cuesj-323	198	45	of	of	ADP
cuesj-323	198	46	different	different	ADJ
cuesj-323	198	47	numbers	number	NOUN
cuesj-323	198	48	of	of	ADP
cuesj-323	198	49	customers	customer	NOUN
cuesj-323	198	50	,	,	PUNCT
cuesj-323	198	51	200	200	NUM
cuesj-323	198	52	and	and	CCONJ
cuesj-323	198	53	500	500	NUM
cuesj-323	198	54	.	.	PUNCT
cuesj-323	199	1	the	the	DET
cuesj-323	199	2	rule	rule	NOUN
cuesj-323	199	3	has	have	AUX
cuesj-323	199	4	produced	produce	VERB
cuesj-323	199	5	good	good	ADJ
cuesj-323	199	6	order	order	NOUN
cuesj-323	199	7	allocation	allocation	NOUN
cuesj-323	199	8	results	result	NOUN
cuesj-323	199	9	by	by	ADP
cuesj-323	199	10	utilizing	utilize	VERB
cuesj-323	199	11	the	the	DET
cuesj-323	199	12	vehicles	vehicle	NOUN
cuesj-323	199	13	time	time	NOUN
cuesj-323	199	14	availability	availability	NOUN
cuesj-323	199	15	and	and	CCONJ
cuesj-323	199	16	capacity	capacity	NOUN
cuesj-323	199	17	and	and	CCONJ
cuesj-323	199	18	neglecting	neglect	VERB
cuesj-323	199	19	customers	customer	NOUN
cuesj-323	199	20	who	who	PRON
cuesj-323	199	21	are	be	AUX
cuesj-323	199	22	considered	consider	VERB
cuesj-323	199	23	over	over	ADP
cuesj-323	199	24	the	the	DET
cuesj-323	199	25	overall	overall	ADJ
cuesj-323	199	26	capacity	capacity	NOUN
cuesj-323	199	27	.	.	PUNCT
cuesj-323	200	1	the	the	DET
cuesj-323	200	2	resulted	resulted	ADJ
cuesj-323	200	3	average	average	ADJ
cuesj-323	200	4	customer	customer	NOUN
cuesj-323	200	5	allocation	allocation	NOUN
cuesj-323	200	6	is	be	AUX
cuesj-323	200	7	3.2	3.2	NUM
cuesj-323	200	8	for	for	ADP
cuesj-323	200	9	the	the	DET
cuesj-323	200	10	small	small	ADJ
cuesj-323	200	11	problem	problem	NOUN
cuesj-323	200	12	compared	compare	VERB
cuesj-323	200	13	to	to	ADP
cuesj-323	200	14	4.04	4.04	NUM
cuesj-323	200	15	for	for	ADP
cuesj-323	200	16	the	the	DET
cuesj-323	200	17	bigger	big	ADJ
cuesj-323	200	18	problem	problem	NOUN
cuesj-323	200	19	.	.	PUNCT
cuesj-323	201	1	on	on	ADP
cuesj-323	201	2	the	the	DET
cuesj-323	201	3	other	other	ADJ
cuesj-323	201	4	hand	hand	NOUN
cuesj-323	201	5	,	,	PUNCT
cuesj-323	201	6	vehicle	vehicle	NOUN
cuesj-323	201	7	utilization	utilization	NOUN
cuesj-323	201	8	is	be	AUX
cuesj-323	201	9	less	less	ADJ
cuesj-323	201	10	the	the	DET
cuesj-323	201	11	small	small	ADJ
cuesj-323	201	12	problem	problem	NOUN
cuesj-323	201	13	,	,	PUNCT
cuesj-323	201	14	with	with	ADP
cuesj-323	201	15	only	only	ADV
cuesj-323	201	16	8	8	NUM
cuesj-323	201	17	out	out	ADP
cuesj-323	201	18	of	of	ADP
cuesj-323	201	19	25	25	NUM
cuesj-323	201	20	are	be	AUX
cuesj-323	201	21	fully	fully	ADV
cuesj-323	201	22	utilized	utilize	VERB
cuesj-323	201	23	compared	compare	VERB
cuesj-323	201	24	to	to	ADP
cuesj-323	201	25	21	21	NUM
cuesj-323	201	26	in	in	ADP
cuesj-323	201	27	the	the	DET
cuesj-323	201	28	bigger	big	ADJ
cuesj-323	201	29	problem	problem	NOUN
cuesj-323	201	30	.	.	PUNCT
cuesj-323	202	1	future	future	ADJ
cuesj-323	202	2	work	work	NOUN
cuesj-323	202	3	aims	aim	VERB
cuesj-323	202	4	to	to	PART
cuesj-323	202	5	develop	develop	VERB
cuesj-323	202	6	the	the	DET
cuesj-323	202	7	abm	abm	PROPN
cuesj-323	202	8	model	model	NOUN
cuesj-323	202	9	by	by	ADP
cuesj-323	202	10	further	further	ADJ
cuesj-323	202	11	programming	program	VERB
cuesj-323	202	12	the	the	DET
cuesj-323	202	13	agents	agent	NOUN
cuesj-323	202	14	with	with	ADP
cuesj-323	202	15	random	random	ADJ
cuesj-323	202	16	breakdowns	breakdown	NOUN
cuesj-323	202	17	and	and	CCONJ
cuesj-323	202	18	further	further	ADJ
cuesj-323	202	19	figure	figure	NOUN
cuesj-323	202	20	12	12	NUM
cuesj-323	202	21	:	:	PUNCT
cuesj-323	202	22	problem	problem	NOUN
cuesj-323	202	23	1	1	NUM
cuesj-323	202	24	:	:	PUNCT
cuesj-323	202	25	each	each	DET
cuesj-323	202	26	vehicle	vehicle	NOUN
cuesj-323	202	27	capacity	capacity	NOUN
cuesj-323	202	28	utilization	utilization	NOUN
cuesj-323	202	29	figure	figure	NOUN
cuesj-323	202	30	14	14	NUM
cuesj-323	202	31	:	:	PUNCT
cuesj-323	202	32	problem	problem	NOUN
cuesj-323	202	33	2	2	NUM
cuesj-323	202	34	:	:	PUNCT
cuesj-323	202	35	number	number	NOUN
cuesj-323	202	36	of	of	ADP
cuesj-323	202	37	customers	customer	NOUN
cuesj-323	202	38	allocated	allocate	VERB
cuesj-323	202	39	to	to	ADP
cuesj-323	202	40	each	each	DET
cuesj-323	202	41	vehicle	vehicle	NOUN
cuesj-323	202	42	figure	figure	NOUN
cuesj-323	202	43	13	13	NUM
cuesj-323	202	44	:	:	PUNCT
cuesj-323	202	45	problem	problem	NOUN
cuesj-323	202	46	2	2	NUM
cuesj-323	202	47	allocated	allocate	VERB
cuesj-323	202	48	map	map	NOUN
cuesj-323	202	49	figure	figure	NOUN
cuesj-323	202	50	15	15	NUM
cuesj-323	202	51	:	:	PUNCT
cuesj-323	202	52	problem	problem	NOUN
cuesj-323	202	53	2	2	NUM
cuesj-323	202	54	:	:	PUNCT
cuesj-323	202	55	each	each	DET
cuesj-323	202	56	vehicle	vehicle	NOUN
cuesj-323	202	57	capacity	capacity	NOUN
cuesj-323	202	58	utilization	utilization	NOUN
cuesj-323	202	59	abu	abu	PROPN
cuesj-323	202	60	-	-	PUNCT
cuesj-323	202	61	monshar	monshar	PROPN
cuesj-323	202	62	,	,	PUNCT
cuesj-323	202	63	et	et	PROPN
cuesj-323	202	64	al	al	PROPN
cuesj-323	202	65	.	.	PROPN
cuesj-323	202	66	:	:	PUNCT
cuesj-323	202	67	vehicle	vehicle	NOUN
cuesj-323	202	68	breakdown	breakdown	NOUN
cuesj-323	202	69	in	in	ADP
cuesj-323	202	70	dvrp	dvrp	PROPN
cuesj-323	202	71	9	9	NUM
cuesj-323	202	72	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	202	73	cuesj	cuesj	ADJ
cuesj-323	202	74	2021	2021	NUM
cuesj-323	202	75	,	,	PUNCT
cuesj-323	202	76	5	5	NUM
cuesj-323	202	77	(	(	PUNCT
cuesj-323	202	78	1	1	NUM
cuesj-323	202	79	):	):	PUNCT
cuesj-323	202	80	1	1	NUM
cuesj-323	202	81	-	-	SYM
cuesj-323	202	82	10	10	NUM
cuesj-323	202	83	rules	rule	VERB
cuesj-323	202	84	development	development	NOUN
cuesj-323	202	85	to	to	PART
cuesj-323	202	86	provide	provide	VERB
cuesj-323	202	87	routes	route	NOUN
cuesj-323	202	88	that	that	PRON
cuesj-323	202	89	are	be	AUX
cuesj-323	202	90	adaptive	adaptive	ADJ
cuesj-323	202	91	to	to	ADP
cuesj-323	202	92	the	the	DET
cuesj-323	202	93	breakdown	breakdown	ADJ
cuesj-323	202	94	event	event	NOUN
cuesj-323	202	95	optimally	optimally	ADV
cuesj-323	202	96	.	.	PUNCT
cuesj-323	203	1	references	reference	NOUN
cuesj-323	203	2	1	1	NUM
cuesj-323	203	3	.	.	PUNCT
cuesj-323	203	4	m.	m.	NOUN
cuesj-323	203	5	g.	g.	PROPN
cuesj-323	203	6	speranza	speranza	PROPN
cuesj-323	203	7	.	.	PUNCT
cuesj-323	204	1	trends	trend	NOUN
cuesj-323	204	2	in	in	ADP
cuesj-323	204	3	transportation	transportation	NOUN
cuesj-323	204	4	and	and	CCONJ
cuesj-323	204	5	logistics	logistic	NOUN
cuesj-323	204	6	.	.	PUNCT
cuesj-323	205	1	european	european	ADJ
cuesj-323	205	2	journal	journal	PROPN
cuesj-323	205	3	of	of	ADP
cuesj-323	205	4	operational	operational	ADJ
cuesj-323	205	5	research	research	NOUN
cuesj-323	205	6	,	,	PUNCT
cuesj-323	205	7	vol	vol	NOUN
cuesj-323	205	8	.	.	PROPN
cuesj-323	205	9	264	264	NUM
cuesj-323	205	10	,	,	PUNCT
cuesj-323	205	11	no	no	INTJ
cuesj-323	205	12	.	.	NOUN
cuesj-323	205	13	3	3	NUM
cuesj-323	205	14	,	,	PUNCT
cuesj-323	205	15	pp	pp	ADJ
cuesj-323	205	16	.	.	PUNCT
cuesj-323	206	1	830	830	NUM
cuesj-323	206	2	-	-	SYM
cuesj-323	206	3	836	836	NUM
cuesj-323	206	4	,	,	PUNCT
cuesj-323	206	5	2018	2018	NUM
cuesj-323	206	6	.	.	PUNCT
cuesj-323	207	1	2	2	X
cuesj-323	207	2	.	.	X
cuesj-323	207	3	h.	h.	PROPN
cuesj-323	207	4	lasi	lasi	PROPN
cuesj-323	207	5	,	,	PUNCT
cuesj-323	207	6	p.	p.	NOUN
cuesj-323	207	7	fettke	fettke	PROPN
cuesj-323	207	8	,	,	PUNCT
cuesj-323	207	9	h.	h.	PROPN
cuesj-323	207	10	g.	g.	PROPN
cuesj-323	207	11	kemper	kemper	PROPN
cuesj-323	207	12	,	,	PUNCT
cuesj-323	207	13	t.	t.	PROPN
cuesj-323	207	14	feld	feld	PROPN
cuesj-323	207	15	and	and	CCONJ
cuesj-323	207	16	m.	m.	PROPN
cuesj-323	207	17	hoffmann	hoffmann	PROPN
cuesj-323	207	18	.	.	PUNCT
cuesj-323	208	1	industry	industry	NOUN
cuesj-323	208	2	4.0	4.0	NUM
cuesj-323	208	3	.	.	PUNCT
cuesj-323	209	1	business	business	NOUN
cuesj-323	209	2	and	and	CCONJ
cuesj-323	209	3	information	information	NOUN
cuesj-323	209	4	systems	system	NOUN
cuesj-323	209	5	engineering	engineering	NOUN
cuesj-323	209	6	,	,	PUNCT
cuesj-323	209	7	vol	vol	NOUN
cuesj-323	209	8	.	.	PROPN
cuesj-323	209	9	6	6	NUM
cuesj-323	209	10	,	,	PUNCT
cuesj-323	209	11	no	no	INTJ
cuesj-323	209	12	.	.	NOUN
cuesj-323	209	13	4	4	NUM
cuesj-323	209	14	,	,	PUNCT
cuesj-323	209	15	pp	pp	ADJ
cuesj-323	209	16	.	.	PUNCT
cuesj-323	210	1	239	239	NUM
cuesj-323	210	2	-	-	SYM
cuesj-323	210	3	242	242	NUM
cuesj-323	210	4	,	,	PUNCT
cuesj-323	210	5	2014	2014	NUM
cuesj-323	210	6	.	.	PUNCT
cuesj-323	211	1	3	3	X
cuesj-323	211	2	.	.	PUNCT
cuesj-323	211	3	j.	j.	PROPN
cuesj-323	211	4	gubbi	gubbi	PROPN
cuesj-323	211	5	,	,	PUNCT
cuesj-323	211	6	r.	r.	PROPN
cuesj-323	211	7	buyya	buyya	PROPN
cuesj-323	211	8	,	,	PUNCT
cuesj-323	211	9	s.	s.	PROPN
cuesj-323	211	10	marusic	marusic	PROPN
cuesj-323	211	11	and	and	CCONJ
cuesj-323	211	12	m.	m.	PROPN
cuesj-323	211	13	palaniswami	palaniswami	PROPN
cuesj-323	211	14	.	.	PUNCT
cuesj-323	212	1	internet	internet	NOUN
cuesj-323	212	2	of	of	ADP
cuesj-323	212	3	things	thing	NOUN
cuesj-323	212	4	(	(	PUNCT
cuesj-323	212	5	iot	iot	NOUN
cuesj-323	212	6	):	):	PUNCT
cuesj-323	212	7	a	a	DET
cuesj-323	212	8	vision	vision	NOUN
cuesj-323	212	9	,	,	PUNCT
cuesj-323	212	10	architectural	architectural	ADJ
cuesj-323	212	11	elements	element	NOUN
cuesj-323	212	12	,	,	PUNCT
cuesj-323	212	13	and	and	CCONJ
cuesj-323	212	14	future	future	ADJ
cuesj-323	212	15	directions	direction	NOUN
cuesj-323	212	16	.	.	PUNCT
cuesj-323	213	1	future	future	ADJ
cuesj-323	213	2	generation	generation	NOUN
cuesj-323	213	3	computer	computer	NOUN
cuesj-323	213	4	systems	system	NOUN
cuesj-323	213	5	,	,	PUNCT
cuesj-323	213	6	vol	vol	NOUN
cuesj-323	213	7	.	.	PROPN
cuesj-323	213	8	29	29	NUM
cuesj-323	213	9	,	,	PUNCT
cuesj-323	213	10	no	no	INTJ
cuesj-323	213	11	.	.	NOUN
cuesj-323	213	12	7	7	NUM
cuesj-323	213	13	,	,	PUNCT
cuesj-323	213	14	pp	pp	ADJ
cuesj-323	213	15	.	.	PUNCT
cuesj-323	214	1	1645	1645	NUM
cuesj-323	214	2	-	-	SYM
cuesj-323	214	3	1660	1660	NUM
cuesj-323	214	4	,	,	PUNCT
cuesj-323	214	5	2013	2013	NUM
cuesj-323	214	6	.	.	PUNCT
cuesj-323	215	1	4	4	NUM
cuesj-323	215	2	.	.	X
cuesj-323	215	3	g.	g.	PROPN
cuesj-323	215	4	b.	b.	PROPN
cuesj-323	215	5	dantzig	dantzig	PROPN
cuesj-323	215	6	and	and	CCONJ
cuesj-323	215	7	j.	j.	PROPN
cuesj-323	215	8	h.	h.	PROPN
cuesj-323	215	9	ramser	ramser	PROPN
cuesj-323	215	10	.	.	PUNCT
cuesj-323	216	1	the	the	DET
cuesj-323	216	2	truck	truck	NOUN
cuesj-323	216	3	dispatching	dispatch	VERB
cuesj-323	216	4	problem	problem	NOUN
cuesj-323	216	5	.	.	PUNCT
cuesj-323	217	1	management	management	NOUN
cuesj-323	217	2	science	science	NOUN
cuesj-323	217	3	,	,	PUNCT
cuesj-323	217	4	vol	vol	NOUN
cuesj-323	217	5	.	.	PROPN
cuesj-323	217	6	6	6	NUM
cuesj-323	217	7	,	,	PUNCT
cuesj-323	217	8	no	no	INTJ
cuesj-323	217	9	.	.	NOUN
cuesj-323	217	10	1	1	NUM
cuesj-323	217	11	,	,	PUNCT
cuesj-323	217	12	pp	pp	ADJ
cuesj-323	217	13	.	.	PUNCT
cuesj-323	218	1	80	80	NUM
cuesj-323	218	2	-	-	SYM
cuesj-323	218	3	91	91	NUM
cuesj-323	218	4	,	,	PUNCT
cuesj-323	218	5	1959	1959	NUM
cuesj-323	218	6	.	.	PUNCT
cuesj-323	219	1	5	5	NUM
cuesj-323	219	2	.	.	PUNCT
cuesj-323	219	3	g.	g.	PROPN
cuesj-323	219	4	laporte	laporte	PROPN
cuesj-323	219	5	.	.	PUNCT
cuesj-323	220	1	the	the	DET
cuesj-323	220	2	vehicle	vehicle	NOUN
cuesj-323	220	3	routing	routing	NOUN
cuesj-323	220	4	problem	problem	NOUN
cuesj-323	220	5	:	:	PUNCT
cuesj-323	220	6	an	an	DET
cuesj-323	220	7	overview	overview	NOUN
cuesj-323	220	8	of	of	ADP
cuesj-323	220	9	exact	exact	ADJ
cuesj-323	220	10	and	and	CCONJ
cuesj-323	220	11	approximate	approximate	ADJ
cuesj-323	220	12	algorithms	algorithm	NOUN
cuesj-323	220	13	.	.	PUNCT
cuesj-323	221	1	european	european	ADJ
cuesj-323	221	2	journal	journal	PROPN
cuesj-323	221	3	of	of	ADP
cuesj-323	221	4	operational	operational	ADJ
cuesj-323	221	5	research	research	NOUN
cuesj-323	221	6	,	,	PUNCT
cuesj-323	221	7	vol	vol	NOUN
cuesj-323	221	8	.	.	PROPN
cuesj-323	221	9	59	59	NUM
cuesj-323	221	10	,	,	PUNCT
cuesj-323	221	11	pp	pp	ADJ
cuesj-323	221	12	.	.	PUNCT
cuesj-323	222	1	345	345	NUM
cuesj-323	222	2	-	-	SYM
cuesj-323	222	3	358	358	NUM
cuesj-323	222	4	,	,	PUNCT
cuesj-323	222	5	1992	1992	NUM
cuesj-323	222	6	.	.	PUNCT
cuesj-323	223	1	6	6	NUM
cuesj-323	223	2	.	.	PUNCT
cuesj-323	223	3	j.	j.	PROPN
cuesj-323	223	4	k.	k.	PROPN
cuesj-323	223	5	lenstra	lenstra	PROPN
cuesj-323	223	6	and	and	CCONJ
cuesj-323	223	7	a.	a.	PROPN
cuesj-323	223	8	h.	h.	PROPN
cuesj-323	223	9	g.	g.	PROPN
cuesj-323	223	10	kan	kan	PROPN
cuesj-323	223	11	.	.	PUNCT
cuesj-323	224	1	complexity	complexity	NOUN
cuesj-323	224	2	of	of	ADP
cuesj-323	224	3	vehicle	vehicle	NOUN
cuesj-323	224	4	routing	routing	NOUN
cuesj-323	224	5	and	and	CCONJ
cuesj-323	224	6	scheduling	scheduling	NOUN
cuesj-323	224	7	problems	problem	NOUN
cuesj-323	224	8	.	.	PUNCT
cuesj-323	225	1	networks	network	NOUN
cuesj-323	225	2	,	,	PUNCT
cuesj-323	225	3	vol	vol	NOUN
cuesj-323	225	4	.	.	PROPN
cuesj-323	225	5	11	11	NUM
cuesj-323	225	6	,	,	PUNCT
cuesj-323	225	7	no	no	INTJ
cuesj-323	225	8	.	.	NOUN
cuesj-323	225	9	2	2	NUM
cuesj-323	225	10	,	,	PUNCT
cuesj-323	225	11	pp	pp	ADJ
cuesj-323	225	12	.	.	PUNCT
cuesj-323	226	1	221	221	NUM
cuesj-323	226	2	-	-	SYM
cuesj-323	226	3	227	227	NUM
cuesj-323	226	4	,	,	PUNCT
cuesj-323	226	5	1981	1981	NUM
cuesj-323	226	6	.	.	PUNCT
cuesj-323	227	1	7	7	X
cuesj-323	227	2	.	.	X
cuesj-323	227	3	m.	m.	NOUN
cuesj-323	227	4	m.	m.	PROPN
cuesj-323	227	5	solomon	solomon	PROPN
cuesj-323	227	6	.	.	PUNCT
cuesj-323	228	1	algorithms	algorithm	NOUN
cuesj-323	228	2	for	for	ADP
cuesj-323	228	3	the	the	DET
cuesj-323	228	4	vehicle	vehicle	NOUN
cuesj-323	228	5	routing	routing	NOUN
cuesj-323	228	6	and	and	CCONJ
cuesj-323	228	7	scheduling	scheduling	NOUN
cuesj-323	228	8	problems	problem	NOUN
cuesj-323	228	9	with	with	ADP
cuesj-323	228	10	time	time	NOUN
cuesj-323	228	11	window	window	NOUN
cuesj-323	228	12	constraints	constraint	NOUN
cuesj-323	228	13	.	.	PUNCT
cuesj-323	229	1	operational	operational	ADJ
cuesj-323	229	2	research	research	NOUN
cuesj-323	229	3	,	,	PUNCT
cuesj-323	229	4	vol	vol	NOUN
cuesj-323	229	5	.	.	PROPN
cuesj-323	229	6	35	35	NUM
cuesj-323	229	7	,	,	PUNCT
cuesj-323	229	8	no	no	INTJ
cuesj-323	229	9	.	.	NOUN
cuesj-323	229	10	2	2	NUM
cuesj-323	229	11	,	,	PUNCT
cuesj-323	229	12	pp	pp	ADJ
cuesj-323	229	13	.	.	PUNCT
cuesj-323	230	1	254	254	NUM
cuesj-323	230	2	-	-	SYM
cuesj-323	230	3	265	265	NUM
cuesj-323	230	4	,	,	PUNCT
cuesj-323	230	5	1987	1987	NUM
cuesj-323	230	6	.	.	PUNCT
cuesj-323	231	1	8	8	X
cuesj-323	231	2	.	.	PUNCT
cuesj-323	231	3	m.	m.	NOUN
cuesj-323	231	4	schneider	schneider	PROPN
cuesj-323	231	5	.	.	PUNCT
cuesj-323	232	1	the	the	DET
cuesj-323	232	2	vehicle	vehicle	NOUN
cuesj-323	232	3	-	-	PUNCT
cuesj-323	232	4	routing	route	VERB
cuesj-323	232	5	problem	problem	NOUN
cuesj-323	232	6	with	with	ADP
cuesj-323	232	7	time	time	NOUN
cuesj-323	232	8	windows	window	NOUN
cuesj-323	232	9	and	and	CCONJ
cuesj-323	232	10	driver	driver	NOUN
cuesj-323	232	11	-	-	PUNCT
cuesj-323	232	12	specific	specific	ADJ
cuesj-323	232	13	times	time	NOUN
cuesj-323	232	14	.	.	PUNCT
cuesj-323	233	1	european	european	PROPN
cuesj-323	233	2	journal	journal	PROPN
cuesj-323	233	3	of	of	ADP
cuesj-323	233	4	operational	operational	ADJ
cuesj-323	233	5	research	research	NOUN
cuesj-323	233	6	,	,	PUNCT
cuesj-323	233	7	vol	vol	NOUN
cuesj-323	233	8	.	.	PROPN
cuesj-323	234	1	250	250	NUM
cuesj-323	234	2	,	,	PUNCT
cuesj-323	234	3	no	no	INTJ
cuesj-323	234	4	.	.	NOUN
cuesj-323	234	5	1	1	NUM
cuesj-323	234	6	,	,	PUNCT
cuesj-323	234	7	pp	pp	ADJ
cuesj-323	234	8	.	.	PUNCT
cuesj-323	235	1	101	101	NUM
cuesj-323	235	2	-	-	SYM
cuesj-323	235	3	119	119	NUM
cuesj-323	235	4	,	,	PUNCT
cuesj-323	235	5	2016	2016	NUM
cuesj-323	235	6	.	.	PUNCT
cuesj-323	236	1	9	9	X
cuesj-323	236	2	.	.	X
cuesj-323	236	3	v.	v.	ADP
cuesj-323	236	4	pillac	pillac	PROPN
cuesj-323	236	5	,	,	PUNCT
cuesj-323	236	6	m.	m.	NOUN
cuesj-323	236	7	gendreau	gendreau	PROPN
cuesj-323	236	8	,	,	PUNCT
cuesj-323	236	9	c.	c.	PROPN
cuesj-323	236	10	guéret	guéret	PROPN
cuesj-323	236	11	and	and	CCONJ
cuesj-323	236	12	a.	a.	PROPN
cuesj-323	236	13	l.	l.	PROPN
cuesj-323	236	14	medaglia	medaglia	PROPN
cuesj-323	236	15	.	.	PUNCT
cuesj-323	237	1	a	a	DET
cuesj-323	237	2	review	review	NOUN
cuesj-323	237	3	of	of	ADP
cuesj-323	237	4	dynamic	dynamic	ADJ
cuesj-323	237	5	vehicle	vehicle	NOUN
cuesj-323	237	6	routing	routing	NOUN
cuesj-323	237	7	problems	problem	NOUN
cuesj-323	237	8	.	.	PUNCT
cuesj-323	238	1	european	european	ADJ
cuesj-323	238	2	journal	journal	PROPN
cuesj-323	238	3	of	of	ADP
cuesj-323	238	4	operational	operational	ADJ
cuesj-323	238	5	research	research	NOUN
cuesj-323	238	6	,	,	PUNCT
cuesj-323	238	7	vol	vol	NOUN
cuesj-323	238	8	.	.	PROPN
cuesj-323	238	9	225	225	NUM
cuesj-323	238	10	,	,	PUNCT
cuesj-323	238	11	no	no	INTJ
cuesj-323	238	12	.	.	NOUN
cuesj-323	238	13	1	1	NUM
cuesj-323	238	14	,	,	PUNCT
cuesj-323	238	15	pp	pp	ADJ
cuesj-323	238	16	.	.	PUNCT
cuesj-323	239	1	1	1	NUM
cuesj-323	239	2	-	-	SYM
cuesj-323	239	3	11	11	NUM
cuesj-323	239	4	,	,	PUNCT
cuesj-323	239	5	2013	2013	NUM
cuesj-323	239	6	.	.	PUNCT
cuesj-323	240	1	10	10	NUM
cuesj-323	240	2	.	.	PUNCT
cuesj-323	241	1	p.	p.	NOUN
cuesj-323	241	2	c.	c.	PROPN
cuesj-323	241	3	guedes	guedes	PROPN
cuesj-323	241	4	and	and	CCONJ
cuesj-323	241	5	d.	d.	PROPN
cuesj-323	241	6	borenstein	borenstein	PROPN
cuesj-323	241	7	.	.	PUNCT
cuesj-323	242	1	real	real	ADJ
cuesj-323	242	2	-	-	PUNCT
cuesj-323	242	3	time	time	NOUN
cuesj-323	242	4	multi	multi	ADJ
cuesj-323	242	5	-	-	ADJ
cuesj-323	242	6	depot	depot	ADJ
cuesj-323	242	7	vehicle	vehicle	NOUN
cuesj-323	242	8	type	type	NOUN
cuesj-323	242	9	rescheduling	rescheduling	NOUN
cuesj-323	242	10	problem	problem	NOUN
cuesj-323	242	11	.	.	PUNCT
cuesj-323	243	1	transportation	transportation	NOUN
cuesj-323	243	2	research	research	NOUN
cuesj-323	243	3	part	part	NOUN
cuesj-323	243	4	b	b	NOUN
cuesj-323	243	5	:	:	PUNCT
cuesj-323	243	6	methodological	methodological	ADJ
cuesj-323	243	7	,	,	PUNCT
cuesj-323	243	8	vol	vol	NOUN
cuesj-323	243	9	.	.	PROPN
cuesj-323	243	10	108	108	NUM
cuesj-323	243	11	,	,	PUNCT
cuesj-323	243	12	pp	pp	ADJ
cuesj-323	243	13	.	.	PUNCT
cuesj-323	244	1	217	217	NUM
cuesj-323	244	2	-	-	SYM
cuesj-323	244	3	234	234	NUM
cuesj-323	244	4	,	,	PUNCT
cuesj-323	244	5	2018	2018	NUM
cuesj-323	244	6	.	.	PUNCT
cuesj-323	245	1	11	11	NUM
cuesj-323	245	2	.	.	PUNCT
cuesj-323	245	3	m.	m.	NOUN
cuesj-323	245	4	gendreau	gendreau	PROPN
cuesj-323	245	5	,	,	PUNCT
cuesj-323	245	6	f.	f.	PROPN
cuesj-323	245	7	guertin	guertin	PROPN
cuesj-323	245	8	,	,	PUNCT
cuesj-323	245	9	j.	j.	PROPN
cuesj-323	245	10	y.	y.	PROPN
cuesj-323	245	11	potvin	potvin	PROPN
cuesj-323	245	12	and	and	CCONJ
cuesj-323	245	13	é	é	PROPN
cuesj-323	245	14	.	.	PUNCT
cuesj-323	246	1	d.	d.	PROPN
cuesj-323	246	2	taillard	taillard	PROPN
cuesj-323	246	3	.	.	PUNCT
cuesj-323	247	1	parallel	parallel	ADJ
cuesj-323	247	2	tabu	tabu	NOUN
cuesj-323	247	3	search	search	NOUN
cuesj-323	247	4	for	for	ADP
cuesj-323	247	5	real	real	ADJ
cuesj-323	247	6	-	-	PUNCT
cuesj-323	247	7	time	time	NOUN
cuesj-323	247	8	vehicle	vehicle	NOUN
cuesj-323	247	9	routing	routing	NOUN
cuesj-323	247	10	and	and	CCONJ
cuesj-323	247	11	dispatching	dispatching	NOUN
cuesj-323	247	12	.	.	PUNCT
cuesj-323	248	1	transportation	transportation	NOUN
cuesj-323	248	2	,	,	PUNCT
cuesj-323	248	3	vol	vol	NOUN
cuesj-323	248	4	.	.	PROPN
cuesj-323	248	5	33	33	NUM
cuesj-323	248	6	,	,	PUNCT
cuesj-323	248	7	no	no	INTJ
cuesj-323	248	8	.	.	NOUN
cuesj-323	248	9	4	4	NUM
cuesj-323	248	10	,	,	PUNCT
cuesj-323	248	11	pp	pp	ADJ
cuesj-323	248	12	.	.	PUNCT
cuesj-323	249	1	381	381	NUM
cuesj-323	249	2	-	-	SYM
cuesj-323	249	3	390	390	NUM
cuesj-323	249	4	,	,	PUNCT
cuesj-323	249	5	1999	1999	NUM
cuesj-323	249	6	.	.	PUNCT
cuesj-323	250	1	12	12	NUM
cuesj-323	250	2	.	.	PUNCT
cuesj-323	251	1	j.	j.	PROPN
cuesj-323	251	2	q.	q.	PROPN
cuesj-323	251	3	li	li	PROPN
cuesj-323	251	4	,	,	PUNCT
cuesj-323	251	5	d.	d.	PROPN
cuesj-323	251	6	borenstein	borenstein	PROPN
cuesj-323	251	7	and	and	CCONJ
cuesj-323	251	8	p.	p.	PROPN
cuesj-323	251	9	b.	b.	PROPN
cuesj-323	251	10	mirchandani	mirchandani	PROPN
cuesj-323	251	11	.	.	PUNCT
cuesj-323	252	1	a	a	DET
cuesj-323	252	2	decision	decision	NOUN
cuesj-323	252	3	support	support	NOUN
cuesj-323	252	4	system	system	NOUN
cuesj-323	252	5	for	for	ADP
cuesj-323	252	6	the	the	DET
cuesj-323	252	7	single	single	ADJ
cuesj-323	252	8	-	-	PUNCT
cuesj-323	252	9	depot	depot	NOUN
cuesj-323	252	10	vehicle	vehicle	NOUN
cuesj-323	252	11	rescheduling	rescheduling	NOUN
cuesj-323	252	12	problem	problem	NOUN
cuesj-323	252	13	.	.	PUNCT
cuesj-323	253	1	comput	comput	NOUN
cuesj-323	253	2	.	.	PUNCT
cuesj-323	254	1	oper	oper	PROPN
cuesj-323	254	2	.	.	PUNCT
cuesj-323	255	1	res	res	PROPN
cuesj-323	255	2	.	.	PROPN
cuesj-323	255	3	,	,	PUNCT
cuesj-323	255	4	vol	vol	NOUN
cuesj-323	255	5	.	.	PROPN
cuesj-323	256	1	34	34	NUM
cuesj-323	256	2	,	,	PUNCT
cuesj-323	256	3	no	no	INTJ
cuesj-323	256	4	.	.	NOUN
cuesj-323	256	5	4	4	NUM
cuesj-323	256	6	,	,	PUNCT
cuesj-323	256	7	pp	pp	ADJ
cuesj-323	256	8	.	.	PUNCT
cuesj-323	257	1	1008	1008	NUM
cuesj-323	257	2	-	-	SYM
cuesj-323	257	3	1032	1032	NUM
cuesj-323	257	4	,	,	PUNCT
cuesj-323	257	5	2007	2007	NUM
cuesj-323	257	6	.	.	PUNCT
cuesj-323	258	1	13	13	NUM
cuesj-323	258	2	.	.	PUNCT
cuesj-323	259	1	j.	j.	PROPN
cuesj-323	259	2	q.	q.	PROPN
cuesj-323	259	3	li	li	PROPN
cuesj-323	259	4	,	,	PUNCT
cuesj-323	259	5	p.	p.	PROPN
cuesj-323	259	6	b.	b.	PROPN
cuesj-323	259	7	mirchandani	mirchandani	PROPN
cuesj-323	259	8	and	and	CCONJ
cuesj-323	259	9	d.	d.	PROPN
cuesj-323	259	10	borenstein	borenstein	PROPN
cuesj-323	259	11	.	.	PUNCT
cuesj-323	260	1	the	the	DET
cuesj-323	260	2	vehicle	vehicle	NOUN
cuesj-323	260	3	rescheduling	rescheduling	NOUN
cuesj-323	260	4	problem	problem	NOUN
cuesj-323	260	5	:	:	PUNCT
cuesj-323	260	6	model	model	NOUN
cuesj-323	260	7	and	and	CCONJ
cuesj-323	260	8	algorithms	algorithm	NOUN
cuesj-323	260	9	.	.	PUNCT
cuesj-323	261	1	networks	network	NOUN
cuesj-323	261	2	,	,	PUNCT
cuesj-323	261	3	vol	vol	NOUN
cuesj-323	261	4	.	.	PROPN
cuesj-323	262	1	50	50	NUM
cuesj-323	262	2	,	,	PUNCT
cuesj-323	262	3	no	no	INTJ
cuesj-323	262	4	.	.	NOUN
cuesj-323	262	5	3	3	NUM
cuesj-323	262	6	,	,	PUNCT
cuesj-323	262	7	pp	pp	ADJ
cuesj-323	262	8	.	.	PUNCT
cuesj-323	263	1	211	211	NUM
cuesj-323	263	2	-	-	SYM
cuesj-323	263	3	229	229	NUM
cuesj-323	263	4	,	,	PUNCT
cuesj-323	263	5	2007	2007	NUM
cuesj-323	263	6	.	.	PUNCT
cuesj-323	264	1	14	14	NUM
cuesj-323	264	2	.	.	PUNCT
cuesj-323	265	1	j.	j.	PROPN
cuesj-323	265	2	q.	q.	PROPN
cuesj-323	265	3	li	li	PROPN
cuesj-323	265	4	,	,	PUNCT
cuesj-323	265	5	p.	p.	PROPN
cuesj-323	265	6	b.	b.	PROPN
cuesj-323	265	7	mirchandani	mirchandani	PROPN
cuesj-323	265	8	and	and	CCONJ
cuesj-323	265	9	d.	d.	PROPN
cuesj-323	265	10	borenstein	borenstein	PROPN
cuesj-323	265	11	.	.	PUNCT
cuesj-323	266	1	a	a	DET
cuesj-323	266	2	lagrangian	lagrangian	ADJ
cuesj-323	266	3	heuristic	heuristic	NOUN
cuesj-323	266	4	for	for	ADP
cuesj-323	266	5	the	the	DET
cuesj-323	266	6	real	real	ADJ
cuesj-323	266	7	-	-	PUNCT
cuesj-323	266	8	time	time	NOUN
cuesj-323	266	9	vehicle	vehicle	NOUN
cuesj-323	266	10	rescheduling	rescheduling	NOUN
cuesj-323	266	11	problem	problem	NOUN
cuesj-323	266	12	.	.	PUNCT
cuesj-323	267	1	transportation	transportation	NOUN
cuesj-323	267	2	research	research	NOUN
cuesj-323	267	3	part	part	NOUN
cuesj-323	267	4	e	e	NOUN
cuesj-323	267	5	:	:	PUNCT
cuesj-323	267	6	logistics	logistic	NOUN
cuesj-323	267	7	and	and	CCONJ
cuesj-323	267	8	transportation	transportation	NOUN
cuesj-323	267	9	,	,	PUNCT
cuesj-323	267	10	vol	vol	NOUN
cuesj-323	267	11	.	.	PROPN
cuesj-323	268	1	45	45	NUM
cuesj-323	268	2	,	,	PUNCT
cuesj-323	268	3	no	no	INTJ
cuesj-323	268	4	.	.	NOUN
cuesj-323	268	5	3	3	NUM
cuesj-323	268	6	,	,	PUNCT
cuesj-323	268	7	pp	pp	ADJ
cuesj-323	268	8	.	.	PUNCT
cuesj-323	269	1	419	419	NUM
cuesj-323	269	2	-	-	SYM
cuesj-323	269	3	433	433	NUM
cuesj-323	269	4	,	,	PUNCT
cuesj-323	269	5	2009	2009	NUM
cuesj-323	269	6	.	.	PUNCT
cuesj-323	270	1	15	15	NUM
cuesj-323	270	2	.	.	PUNCT
cuesj-323	271	1	j.	j.	PROPN
cuesj-323	271	2	q.	q.	PROPN
cuesj-323	271	3	li	li	PROPN
cuesj-323	271	4	,	,	PUNCT
cuesj-323	271	5	p.	p.	PROPN
cuesj-323	271	6	b.	b.	PROPN
cuesj-323	271	7	mirchandani	mirchandani	PROPN
cuesj-323	271	8	and	and	CCONJ
cuesj-323	271	9	d.	d.	PROPN
cuesj-323	271	10	borenstein	borenstein	PROPN
cuesj-323	271	11	.	.	PUNCT
cuesj-323	272	1	real	real	ADJ
cuesj-323	272	2	-	-	PUNCT
cuesj-323	272	3	time	time	NOUN
cuesj-323	272	4	vehicle	vehicle	NOUN
cuesj-323	272	5	re	re	NOUN
cuesj-323	272	6	-	-	ADJ
cuesj-323	272	7	routing	route	VERB
cuesj-323	272	8	problems	problem	NOUN
cuesj-323	272	9	with	with	ADP
cuesj-323	272	10	time	time	NOUN
cuesj-323	272	11	windows	window	NOUN
cuesj-323	272	12	.	.	PUNCT
cuesj-323	273	1	european	european	PROPN
cuesj-323	273	2	journal	journal	PROPN
cuesj-323	273	3	of	of	ADP
cuesj-323	273	4	operational	operational	ADJ
cuesj-323	273	5	research	research	NOUN
cuesj-323	273	6	,	,	PUNCT
cuesj-323	273	7	vol	vol	NOUN
cuesj-323	273	8	.	.	PROPN
cuesj-323	274	1	194	194	NUM
cuesj-323	274	2	,	,	PUNCT
cuesj-323	274	3	no	no	INTJ
cuesj-323	274	4	.	.	NOUN
cuesj-323	274	5	3	3	NUM
cuesj-323	274	6	,	,	PUNCT
cuesj-323	274	7	pp	pp	ADJ
cuesj-323	274	8	.	.	PUNCT
cuesj-323	275	1	711	711	NUM
cuesj-323	275	2	-	-	SYM
cuesj-323	275	3	727	727	NUM
cuesj-323	275	4	,	,	PUNCT
cuesj-323	275	5	2009	2009	NUM
cuesj-323	275	6	.	.	PUNCT
cuesj-323	276	1	16	16	NUM
cuesj-323	276	2	.	.	PUNCT
cuesj-323	277	1	r.	r.	PROPN
cuesj-323	277	2	r.	r.	PROPN
cuesj-323	277	3	pandi	pandi	PROPN
cuesj-323	277	4	,	,	PUNCT
cuesj-323	277	5	s.	s.	PROPN
cuesj-323	277	6	g.	g.	PROPN
cuesj-323	277	7	ho	ho	PROPN
cuesj-323	277	8	,	,	PUNCT
cuesj-323	277	9	s.	s.	PROPN
cuesj-323	277	10	c.	c.	PROPN
cuesj-323	277	11	nagavarapu	nagavarapu	PROPN
cuesj-323	277	12	,	,	PUNCT
cuesj-323	277	13	t.	t.	PROPN
cuesj-323	277	14	tripathy	tripathy	PROPN
cuesj-323	277	15	and	and	CCONJ
cuesj-323	277	16	j.	j.	PROPN
cuesj-323	277	17	dauwels	dauwels	PROPN
cuesj-323	277	18	.	.	PUNCT
cuesj-323	278	1	disruption	disruption	NOUN
cuesj-323	278	2	management	management	NOUN
cuesj-323	278	3	for	for	ADP
cuesj-323	278	4	dial	dial	NOUN
cuesj-323	278	5	-	-	PUNCT
cuesj-323	278	6	a	a	DET
cuesj-323	278	7	-	-	PUNCT
cuesj-323	278	8	ride	ride	NOUN
cuesj-323	278	9	systems	system	NOUN
cuesj-323	278	10	.	.	PUNCT
cuesj-323	279	1	ieee	ieee	PROPN
cuesj-323	279	2	intelligent	intelligent	ADJ
cuesj-323	279	3	transportation	transportation	NOUN
cuesj-323	279	4	systems	system	NOUN
cuesj-323	279	5	magazine	magazine	NOUN
cuesj-323	279	6	,	,	PUNCT
cuesj-323	279	7	vol	vol	NOUN
cuesj-323	279	8	.	.	PROPN
cuesj-323	279	9	12	12	NUM
cuesj-323	279	10	,	,	PUNCT
cuesj-323	279	11	no	no	INTJ
cuesj-323	279	12	.	.	NOUN
cuesj-323	279	13	4	4	NUM
cuesj-323	279	14	,	,	PUNCT
cuesj-323	279	15	pp	pp	ADJ
cuesj-323	279	16	.	.	PUNCT
cuesj-323	280	1	219	219	NUM
cuesj-323	280	2	-	-	SYM
cuesj-323	280	3	234	234	NUM
cuesj-323	280	4	,	,	PUNCT
cuesj-323	280	5	2020	2020	NUM
cuesj-323	280	6	.	.	PUNCT
cuesj-323	281	1	17	17	NUM
cuesj-323	281	2	.	.	PUNCT
cuesj-323	281	3	q.	q.	PROPN
cuesj-323	281	4	mu	mu	PROPN
cuesj-323	281	5	,	,	PUNCT
cuesj-323	281	6	z.	z.	PROPN
cuesj-323	281	7	fu	fu	PROPN
cuesj-323	281	8	,	,	PUNCT
cuesj-323	281	9	j.	j.	PROPN
cuesj-323	281	10	lysgaard	lysgaard	PROPN
cuesj-323	281	11	and	and	CCONJ
cuesj-323	281	12	r.	r.	PROPN
cuesj-323	281	13	eglese	eglese	PROPN
cuesj-323	281	14	.	.	PUNCT
cuesj-323	282	1	disruption	disruption	NOUN
cuesj-323	282	2	management	management	NOUN
cuesj-323	282	3	of	of	ADP
cuesj-323	282	4	the	the	DET
cuesj-323	282	5	vehicle	vehicle	NOUN
cuesj-323	282	6	routing	routing	NOUN
cuesj-323	282	7	problem	problem	NOUN
cuesj-323	282	8	with	with	ADP
cuesj-323	282	9	vehicle	vehicle	NOUN
cuesj-323	282	10	breakdown	breakdown	NOUN
cuesj-323	282	11	.	.	PUNCT
cuesj-323	283	1	journal	journal	NOUN
cuesj-323	283	2	of	of	ADP
cuesj-323	283	3	the	the	DET
cuesj-323	283	4	operational	operational	ADJ
cuesj-323	283	5	research	research	NOUN
cuesj-323	283	6	society	society	NOUN
cuesj-323	283	7	,	,	PUNCT
cuesj-323	283	8	vol	vol	NOUN
cuesj-323	283	9	.	.	PROPN
cuesj-323	283	10	62	62	NUM
cuesj-323	283	11	,	,	PUNCT
cuesj-323	283	12	no	no	INTJ
cuesj-323	283	13	.	.	NOUN
cuesj-323	283	14	4	4	NUM
cuesj-323	283	15	,	,	PUNCT
cuesj-323	283	16	pp	pp	ADJ
cuesj-323	283	17	.	.	PUNCT
cuesj-323	284	1	742	742	NUM
cuesj-323	284	2	-	-	SYM
cuesj-323	284	3	749	749	NUM
cuesj-323	284	4	,	,	PUNCT
cuesj-323	284	5	2011	2011	NUM
cuesj-323	284	6	.	.	PUNCT
cuesj-323	285	1	18	18	NUM
cuesj-323	285	2	.	.	PUNCT
cuesj-323	285	3	i.	i.	PROPN
cuesj-323	285	4	minis	minis	PROPN
cuesj-323	285	5	,	,	PUNCT
cuesj-323	285	6	k.	k.	PROPN
cuesj-323	285	7	mamasis	mamasis	PROPN
cuesj-323	285	8	and	and	CCONJ
cuesj-323	285	9	v.	v.	ADP
cuesj-323	285	10	zeimpekis	zeimpeki	NOUN
cuesj-323	285	11	.	.	PUNCT
cuesj-323	286	1	real	real	ADJ
cuesj-323	286	2	-	-	PUNCT
cuesj-323	286	3	time	time	NOUN
cuesj-323	286	4	management	management	NOUN
cuesj-323	286	5	of	of	ADP
cuesj-323	286	6	vehicle	vehicle	NOUN
cuesj-323	286	7	breakdowns	breakdown	NOUN
cuesj-323	286	8	in	in	ADP
cuesj-323	286	9	urban	urban	ADJ
cuesj-323	286	10	freight	freight	NOUN
cuesj-323	286	11	distribution	distribution	NOUN
cuesj-323	286	12	.	.	PUNCT
cuesj-323	287	1	the	the	DET
cuesj-323	287	2	journal	journal	NOUN
cuesj-323	287	3	of	of	ADP
cuesj-323	287	4	heuristics	heuristic	NOUN
cuesj-323	287	5	,	,	PUNCT
cuesj-323	287	6	vol	vol	NOUN
cuesj-323	287	7	.	.	PROPN
cuesj-323	287	8	18	18	NUM
cuesj-323	287	9	,	,	PUNCT
cuesj-323	287	10	no	no	INTJ
cuesj-323	287	11	.	.	NOUN
cuesj-323	287	12	3	3	NUM
cuesj-323	287	13	,	,	PUNCT
cuesj-323	287	14	pp	pp	ADJ
cuesj-323	287	15	.	.	PUNCT
cuesj-323	288	1	375	375	NUM
cuesj-323	288	2	-	-	SYM
cuesj-323	288	3	400	400	NUM
cuesj-323	288	4	,	,	PUNCT
cuesj-323	288	5	2012	2012	NUM
cuesj-323	288	6	.	.	PUNCT
cuesj-323	289	1	19	19	NUM
cuesj-323	289	2	.	.	PUNCT
cuesj-323	289	3	k.	k.	PROPN
cuesj-323	289	4	mamasis	mamasis	PROPN
cuesj-323	289	5	,	,	PUNCT
cuesj-323	289	6	i.	i.	NOUN
cuesj-323	289	7	minis	minis	PROPN
cuesj-323	289	8	and	and	CCONJ
cuesj-323	289	9	g.	g.	PROPN
cuesj-323	289	10	dikas	dikas	PROPN
cuesj-323	289	11	.	.	PUNCT
cuesj-323	290	1	managing	manage	VERB
cuesj-323	290	2	vehicle	vehicle	NOUN
cuesj-323	290	3	breakdown	breakdown	ADJ
cuesj-323	290	4	incidents	incident	NOUN
cuesj-323	290	5	during	during	ADP
cuesj-323	290	6	the	the	DET
cuesj-323	290	7	urban	urban	ADJ
cuesj-323	290	8	distribution	distribution	NOUN
cuesj-323	290	9	of	of	ADP
cuesj-323	290	10	a	a	DET
cuesj-323	290	11	common	common	ADJ
cuesj-323	290	12	product	product	NOUN
cuesj-323	290	13	.	.	PUNCT
cuesj-323	291	1	journal	journal	NOUN
cuesj-323	291	2	of	of	ADP
cuesj-323	291	3	the	the	DET
cuesj-323	291	4	operational	operational	ADJ
cuesj-323	291	5	research	research	NOUN
cuesj-323	291	6	society	society	NOUN
cuesj-323	291	7	,	,	PUNCT
cuesj-323	291	8	vol	vol	NOUN
cuesj-323	291	9	.	.	PROPN
cuesj-323	291	10	64	64	NUM
cuesj-323	291	11	,	,	PUNCT
cuesj-323	291	12	no	no	INTJ
cuesj-323	291	13	.	.	NOUN
cuesj-323	291	14	6	6	NUM
cuesj-323	291	15	,	,	PUNCT
cuesj-323	291	16	pp	pp	ADJ
cuesj-323	291	17	.	.	PUNCT
cuesj-323	292	1	925	925	NUM
cuesj-323	292	2	-	-	SYM
cuesj-323	292	3	937	937	NUM
cuesj-323	292	4	,	,	PUNCT
cuesj-323	292	5	2013	2013	NUM
cuesj-323	292	6	.	.	PUNCT
cuesj-323	293	1	20	20	NUM
cuesj-323	293	2	.	.	PUNCT
cuesj-323	294	1	m.	m.	PROPN
cuesj-323	294	2	van	van	PROPN
cuesj-323	294	3	der	der	PROPN
cuesj-323	294	4	merwe	merwe	PROPN
cuesj-323	294	5	,	,	PUNCT
cuesj-323	294	6	m.	m.	NOUN
cuesj-323	294	7	ozlen	ozlen	PROPN
cuesj-323	294	8	,	,	PUNCT
cuesj-323	294	9	j.	j.	PROPN
cuesj-323	294	10	w.	w.	PROPN
cuesj-323	294	11	hearne	hearne	PROPN
cuesj-323	294	12	and	and	CCONJ
cuesj-323	294	13	j.	j.	PROPN
cuesj-323	294	14	p.	p.	PROPN
cuesj-323	294	15	minas	minas	PROPN
cuesj-323	294	16	.	.	PUNCT
cuesj-323	295	1	dynamic	dynamic	ADJ
cuesj-323	295	2	re	re	NOUN
cuesj-323	295	3	-	-	NOUN
cuesj-323	295	4	routing	routing	NOUN
cuesj-323	295	5	of	of	ADP
cuesj-323	295	6	vehicles	vehicle	NOUN
cuesj-323	295	7	during	during	ADP
cuesj-323	295	8	cooperative	cooperative	ADJ
cuesj-323	295	9	wildfire	wildfire	NOUN
cuesj-323	295	10	response	response	NOUN
cuesj-323	295	11	operations	operation	NOUN
cuesj-323	295	12	.	.	PUNCT
cuesj-323	296	1	annals	annal	NOUN
cuesj-323	296	2	of	of	ADP
cuesj-323	296	3	operations	operation	NOUN
cuesj-323	296	4	research	research	NOUN
cuesj-323	296	5	,	,	PUNCT
cuesj-323	296	6	vol	vol	NOUN
cuesj-323	296	7	.	.	PROPN
cuesj-323	296	8	254	254	NUM
cuesj-323	296	9	,	,	PUNCT
cuesj-323	296	10	no	no	NOUN
cuesj-323	296	11	.	.	NOUN
cuesj-323	296	12	1	1	NUM
cuesj-323	296	13	-	-	SYM
cuesj-323	296	14	2	2	NUM
cuesj-323	296	15	,	,	PUNCT
cuesj-323	296	16	pp	pp	ADJ
cuesj-323	296	17	.	.	PUNCT
cuesj-323	296	18	467	467	NUM
cuesj-323	296	19	-	-	SYM
cuesj-323	296	20	480	480	NUM
cuesj-323	296	21	,	,	PUNCT
cuesj-323	296	22	2017	2017	NUM
cuesj-323	296	23	.	.	PUNCT
cuesj-323	297	1	21	21	NUM
cuesj-323	297	2	.	.	PUNCT
cuesj-323	298	1	h.	h.	PROPN
cuesj-323	298	2	seyyedhasani	seyyedhasani	PROPN
cuesj-323	298	3	and	and	CCONJ
cuesj-323	298	4	j.	j.	PROPN
cuesj-323	298	5	s.	s.	PROPN
cuesj-323	298	6	dvorak	dvorak	PROPN
cuesj-323	298	7	.	.	PUNCT
cuesj-323	299	1	dynamic	dynamic	ADJ
cuesj-323	299	2	re	re	NOUN
cuesj-323	299	3	-	-	NOUN
cuesj-323	299	4	routing	routing	NOUN
cuesj-323	299	5	of	of	ADP
cuesj-323	299	6	a	a	DET
cuesj-323	299	7	fleet	fleet	NOUN
cuesj-323	299	8	of	of	ADP
cuesj-323	299	9	vehicles	vehicle	NOUN
cuesj-323	299	10	in	in	ADP
cuesj-323	299	11	agricultural	agricultural	ADJ
cuesj-323	299	12	operations	operation	NOUN
cuesj-323	299	13	through	through	ADP
cuesj-323	299	14	a	a	DET
cuesj-323	299	15	dynamic	dynamic	ADJ
cuesj-323	299	16	multiple	multiple	ADJ
cuesj-323	299	17	depot	depot	NOUN
cuesj-323	299	18	vehicle	vehicle	NOUN
cuesj-323	299	19	routing	routing	NOUN
cuesj-323	299	20	problem	problem	NOUN
cuesj-323	299	21	representation	representation	NOUN
cuesj-323	299	22	.	.	PUNCT
cuesj-323	300	1	biosystems	biosystems	PROPN
cuesj-323	300	2	engineering	engineering	PROPN
cuesj-323	300	3	,	,	PUNCT
cuesj-323	300	4	vol	vol	NOUN
cuesj-323	300	5	.	.	PROPN
cuesj-323	300	6	171	171	NUM
cuesj-323	300	7	,	,	PUNCT
cuesj-323	300	8	pp	pp	ADJ
cuesj-323	300	9	.	.	PUNCT
cuesj-323	301	1	63	63	NUM
cuesj-323	301	2	-	-	SYM
cuesj-323	301	3	77	77	NUM
cuesj-323	301	4	,	,	PUNCT
cuesj-323	301	5	2018	2018	NUM
cuesj-323	301	6	.	.	PUNCT
cuesj-323	302	1	22	22	NUM
cuesj-323	302	2	.	.	PUNCT
cuesj-323	303	1	g.	g.	PROPN
cuesj-323	303	2	clarke	clarke	PROPN
cuesj-323	303	3	and	and	CCONJ
cuesj-323	303	4	j.	j.	PROPN
cuesj-323	303	5	w.	w.	PROPN
cuesj-323	303	6	wright	wright	PROPN
cuesj-323	303	7	.	.	PUNCT
cuesj-323	304	1	scheduling	scheduling	NOUN
cuesj-323	304	2	of	of	ADP
cuesj-323	304	3	vehicles	vehicle	NOUN
cuesj-323	304	4	from	from	ADP
cuesj-323	304	5	a	a	DET
cuesj-323	304	6	central	central	ADJ
cuesj-323	304	7	depot	depot	NOUN
cuesj-323	304	8	to	to	ADP
cuesj-323	304	9	a	a	DET
cuesj-323	304	10	number	number	NOUN
cuesj-323	304	11	of	of	ADP
cuesj-323	304	12	delivery	delivery	NOUN
cuesj-323	304	13	points	point	NOUN
cuesj-323	304	14	.	.	PUNCT
cuesj-323	305	1	operational	operational	ADJ
cuesj-323	305	2	research	research	NOUN
cuesj-323	305	3	,	,	PUNCT
cuesj-323	305	4	vol	vol	NOUN
cuesj-323	305	5	.	.	PROPN
cuesj-323	305	6	12	12	NUM
cuesj-323	305	7	,	,	PUNCT
cuesj-323	305	8	no	no	INTJ
cuesj-323	305	9	.	.	NOUN
cuesj-323	305	10	4	4	NUM
cuesj-323	305	11	,	,	PUNCT
cuesj-323	305	12	pp	pp	ADJ
cuesj-323	305	13	.	.	PUNCT
cuesj-323	306	1	568	568	NUM
cuesj-323	306	2	-	-	SYM
cuesj-323	306	3	581	581	NUM
cuesj-323	306	4	,	,	PUNCT
cuesj-323	306	5	1964	1964	NUM
cuesj-323	306	6	.	.	PUNCT
cuesj-323	307	1	23	23	NUM
cuesj-323	307	2	.	.	PUNCT
cuesj-323	307	3	l.	l.	PROPN
cuesj-323	307	4	bodin	bodin	PROPN
cuesj-323	307	5	and	and	CCONJ
cuesj-323	307	6	b.	b.	PROPN
cuesj-323	307	7	golden	golden	PROPN
cuesj-323	307	8	.	.	PUNCT
cuesj-323	308	1	classification	classification	NOUN
cuesj-323	308	2	in	in	ADP
cuesj-323	308	3	vehicle	vehicle	NOUN
cuesj-323	308	4	routing	routing	NOUN
cuesj-323	308	5	and	and	CCONJ
cuesj-323	308	6	scheduling	scheduling	NOUN
cuesj-323	308	7	.	.	PUNCT
cuesj-323	309	1	networks	network	NOUN
cuesj-323	309	2	,	,	PUNCT
cuesj-323	309	3	vol	vol	NOUN
cuesj-323	309	4	.	.	PROPN
cuesj-323	309	5	11	11	NUM
cuesj-323	309	6	,	,	PUNCT
cuesj-323	309	7	no	no	INTJ
cuesj-323	309	8	.	.	NOUN
cuesj-323	309	9	2	2	NUM
cuesj-323	309	10	,	,	PUNCT
cuesj-323	309	11	pp	pp	ADJ
cuesj-323	309	12	.	.	PUNCT
cuesj-323	310	1	97	97	NUM
cuesj-323	310	2	-	-	SYM
cuesj-323	310	3	108	108	NUM
cuesj-323	310	4	,	,	PUNCT
cuesj-323	310	5	1981	1981	NUM
cuesj-323	310	6	.	.	PUNCT
cuesj-323	311	1	24	24	NUM
cuesj-323	311	2	.	.	PUNCT
cuesj-323	311	3	r.	r.	PROPN
cuesj-323	311	4	van	van	PROPN
cuesj-323	311	5	lieshout	lieshout	PROPN
cuesj-323	311	6	,	,	PUNCT
cuesj-323	311	7	j.	j.	PROPN
cuesj-323	311	8	mulder	mulder	PROPN
cuesj-323	311	9	and	and	CCONJ
cuesj-323	311	10	d.	d.	PROPN
cuesj-323	311	11	huisman	huisman	PROPN
cuesj-323	311	12	.	.	PUNCT
cuesj-323	312	1	the	the	DET
cuesj-323	312	2	vehicle	vehicle	NOUN
cuesj-323	312	3	rescheduling	rescheduling	NOUN
cuesj-323	312	4	problem	problem	NOUN
cuesj-323	312	5	with	with	ADP
cuesj-323	312	6	retiming	retiming	NOUN
cuesj-323	312	7	.	.	PUNCT
cuesj-323	313	1	operations	operation	NOUN
cuesj-323	313	2	research	research	NOUN
cuesj-323	313	3	and	and	CCONJ
cuesj-323	313	4	computers	computer	NOUN
cuesj-323	313	5	,	,	PUNCT
cuesj-323	313	6	vol	vol	NOUN
cuesj-323	313	7	.	.	PROPN
cuesj-323	314	1	96	96	NUM
cuesj-323	314	2	,	,	PUNCT
cuesj-323	314	3	pp	pp	ADJ
cuesj-323	314	4	.	.	PUNCT
cuesj-323	315	1	131	131	NUM
cuesj-323	315	2	-	-	SYM
cuesj-323	315	3	140	140	NUM
cuesj-323	315	4	,	,	PUNCT
cuesj-323	315	5	2018	2018	NUM
cuesj-323	315	6	.	.	PUNCT
cuesj-323	316	1	25	25	NUM
cuesj-323	316	2	.	.	PUNCT
cuesj-323	316	3	b.	b.	PROPN
cuesj-323	316	4	dávid	dávid	PROPN
cuesj-323	316	5	and	and	CCONJ
cuesj-323	316	6	m.	m.	PROPN
cuesj-323	316	7	krész	krész	PROPN
cuesj-323	316	8	.	.	PUNCT
cuesj-323	317	1	the	the	DET
cuesj-323	317	2	dynamic	dynamic	ADJ
cuesj-323	317	3	vehicle	vehicle	NOUN
cuesj-323	317	4	rescheduling	rescheduling	NOUN
cuesj-323	317	5	problem	problem	NOUN
cuesj-323	317	6	.	.	PUNCT
cuesj-323	318	1	central	central	ADJ
cuesj-323	318	2	european	european	PROPN
cuesj-323	318	3	journal	journal	PROPN
cuesj-323	318	4	of	of	ADP
cuesj-323	318	5	operations	operation	NOUN
cuesj-323	318	6	research	research	NOUN
cuesj-323	318	7	,	,	PUNCT
cuesj-323	318	8	vol	vol	NOUN
cuesj-323	318	9	.	.	PROPN
cuesj-323	318	10	25	25	NUM
cuesj-323	318	11	,	,	PUNCT
cuesj-323	318	12	no	no	INTJ
cuesj-323	318	13	.	.	NOUN
cuesj-323	318	14	4	4	NUM
cuesj-323	318	15	,	,	PUNCT
cuesj-323	318	16	pp	pp	ADJ
cuesj-323	318	17	.	.	PUNCT
cuesj-323	318	18	809	809	NUM
cuesj-323	318	19	-	-	SYM
cuesj-323	318	20	830	830	NUM
cuesj-323	318	21	,	,	PUNCT
cuesj-323	318	22	2017	2017	NUM
cuesj-323	318	23	.	.	PUNCT
cuesj-323	319	1	26	26	NUM
cuesj-323	319	2	.	.	PUNCT
cuesj-323	320	1	g.	g.	PROPN
cuesj-323	320	2	laporte	laporte	PROPN
cuesj-323	320	3	.	.	PUNCT
cuesj-323	321	1	fifty	fifty	NUM
cuesj-323	321	2	years	year	NOUN
cuesj-323	321	3	of	of	ADP
cuesj-323	321	4	vehicle	vehicle	NOUN
cuesj-323	321	5	routing	routing	NOUN
cuesj-323	321	6	.	.	PUNCT
cuesj-323	322	1	transportation	transportation	NOUN
cuesj-323	322	2	science	science	NOUN
cuesj-323	322	3	,	,	PUNCT
cuesj-323	322	4	vol	vol	NOUN
cuesj-323	322	5	.	.	PROPN
cuesj-323	322	6	43	43	NUM
cuesj-323	322	7	,	,	PUNCT
cuesj-323	322	8	no	no	INTJ
cuesj-323	322	9	.	.	NOUN
cuesj-323	322	10	4	4	NUM
cuesj-323	322	11	,	,	PUNCT
cuesj-323	322	12	pp	pp	ADJ
cuesj-323	322	13	.	.	PUNCT
cuesj-323	323	1	408	408	NUM
cuesj-323	323	2	-	-	SYM
cuesj-323	323	3	416	416	NUM
cuesj-323	323	4	,	,	PUNCT
cuesj-323	323	5	2009	2009	NUM
cuesj-323	323	6	.	.	PUNCT
cuesj-323	324	1	27	27	NUM
cuesj-323	324	2	.	.	PUNCT
cuesj-323	325	1	k.	k.	PROPN
cuesj-323	325	2	fischer	fischer	PROPN
cuesj-323	325	3	,	,	PUNCT
cuesj-323	325	4	j.	j.	PROPN
cuesj-323	325	5	müller	müller	PROPN
cuesj-323	325	6	and	and	CCONJ
cuesj-323	325	7	m.	m.	PROPN
cuesj-323	325	8	pischel	pischel	PROPN
cuesj-323	325	9	.	.	PUNCT
cuesj-323	326	1	cooperative	cooperative	ADJ
cuesj-323	326	2	transportation	transportation	NOUN
cuesj-323	326	3	scheduling	scheduling	NOUN
cuesj-323	326	4	:	:	PUNCT
cuesj-323	326	5	an	an	DET
cuesj-323	326	6	application	application	NOUN
cuesj-323	326	7	domain	domain	NOUN
cuesj-323	326	8	for	for	ADP
cuesj-323	326	9	dai	dai	PROPN
cuesj-323	326	10	.	.	PROPN
cuesj-323	326	11	applied	apply	VERB
cuesj-323	326	12	artificial	artificial	ADJ
cuesj-323	326	13	intelligence	intelligence	NOUN
cuesj-323	326	14	,	,	PUNCT
cuesj-323	326	15	vol	vol	NOUN
cuesj-323	326	16	.	.	PROPN
cuesj-323	327	1	10	10	NUM
cuesj-323	327	2	,	,	PUNCT
cuesj-323	327	3	no	no	INTJ
cuesj-323	327	4	.	.	NOUN
cuesj-323	327	5	1	1	NUM
cuesj-323	327	6	,	,	PUNCT
cuesj-323	327	7	pp	pp	ADJ
cuesj-323	327	8	.	.	PUNCT
cuesj-323	328	1	1	1	NUM
cuesj-323	328	2	-	-	SYM
cuesj-323	328	3	34	34	NUM
cuesj-323	328	4	,	,	PUNCT
cuesj-323	328	5	1996	1996	NUM
cuesj-323	328	6	.	.	PUNCT
cuesj-323	329	1	28	28	NUM
cuesj-323	329	2	.	.	PUNCT
cuesj-323	329	3	m.	m.	NOUN
cuesj-323	329	4	mes	mes	PROPN
cuesj-323	329	5	,	,	PUNCT
cuesj-323	329	6	m.	m.	NOUN
cuesj-323	329	7	van	van	PROPN
cuesj-323	329	8	der	der	PROPN
cuesj-323	329	9	heijden	heijden	PROPN
cuesj-323	329	10	and	and	CCONJ
cuesj-323	329	11	a.	a.	NOUN
cuesj-323	329	12	van	van	PROPN
cuesj-323	329	13	harten	harten	PROPN
cuesj-323	329	14	.	.	PUNCT
cuesj-323	330	1	comparison	comparison	NOUN
cuesj-323	330	2	of	of	ADP
cuesj-323	330	3	agent	agent	NOUN
cuesj-323	330	4	-	-	PUNCT
cuesj-323	330	5	based	base	VERB
cuesj-323	330	6	scheduling	scheduling	NOUN
cuesj-323	330	7	to	to	PART
cuesj-323	330	8	look	look	VERB
cuesj-323	330	9	-	-	PUNCT
cuesj-323	330	10	ahead	ahead	NOUN
cuesj-323	330	11	heuristics	heuristic	NOUN
cuesj-323	330	12	for	for	ADP
cuesj-323	330	13	realtime	realtime	NOUN
cuesj-323	330	14	transportation	transportation	NOUN
cuesj-323	330	15	problems	problem	NOUN
cuesj-323	330	16	.	.	PUNCT
cuesj-323	331	1	european	european	ADJ
cuesj-323	331	2	journal	journal	PROPN
cuesj-323	331	3	of	of	ADP
cuesj-323	331	4	operational	operational	ADJ
cuesj-323	331	5	research	research	NOUN
cuesj-323	331	6	,	,	PUNCT
cuesj-323	331	7	vol	vol	NOUN
cuesj-323	331	8	.	.	PROPN
cuesj-323	332	1	181	181	NUM
cuesj-323	332	2	,	,	PUNCT
cuesj-323	332	3	no	no	INTJ
cuesj-323	332	4	.	.	NOUN
cuesj-323	332	5	1	1	NUM
cuesj-323	332	6	,	,	PUNCT
cuesj-323	332	7	pp	pp	ADJ
cuesj-323	332	8	.	.	PUNCT
cuesj-323	333	1	59	59	NUM
cuesj-323	333	2	-	-	SYM
cuesj-323	333	3	75	75	NUM
cuesj-323	333	4	,	,	PUNCT
cuesj-323	333	5	2007	2007	NUM
cuesj-323	333	6	.	.	PUNCT
cuesj-323	334	1	29	29	NUM
cuesj-323	334	2	.	.	PUNCT
cuesj-323	334	3	m.	m.	PROPN
cuesj-323	334	4	wooldridge	wooldridge	PROPN
cuesj-323	334	5	and	and	CCONJ
cuesj-323	334	6	n.	n.	PROPN
cuesj-323	334	7	r.	r.	PROPN
cuesj-323	334	8	jennings	jennings	PROPN
cuesj-323	334	9	.	.	PUNCT
cuesj-323	335	1	agent	agent	PROPN
cuesj-323	335	2	theories	theory	NOUN
cuesj-323	335	3	,	,	PUNCT
cuesj-323	335	4	architectures	architecture	NOUN
cuesj-323	335	5	,	,	PUNCT
cuesj-323	335	6	and	and	CCONJ
cuesj-323	335	7	languages	language	VERB
cuesj-323	335	8	:	:	PUNCT
cuesj-323	335	9	a	a	DET
cuesj-323	335	10	survey	survey	NOUN
cuesj-323	335	11	.	.	PUNCT
cuesj-323	336	1	in	in	ADP
cuesj-323	336	2	:	:	PUNCT
cuesj-323	336	3	m.	m.	PROPN
cuesj-323	336	4	j.	j.	PROPN
cuesj-323	336	5	wooldridge	wooldridge	PROPN
cuesj-323	336	6	and	and	CCONJ
cuesj-323	336	7	n.	n.	PROPN
cuesj-323	336	8	r.	r.	PROPN
cuesj-323	336	9	jennings	jennings	PROPN
cuesj-323	336	10	,	,	PUNCT
cuesj-323	336	11	(	(	PUNCT
cuesj-323	336	12	eds	ed	NOUN
cuesj-323	336	13	.	.	PUNCT
cuesj-323	336	14	)	)	PUNCT
cuesj-323	336	15	,	,	PUNCT
cuesj-323	336	16	intelligent	intelligent	ADJ
cuesj-323	336	17	agents	agent	NOUN
cuesj-323	336	18	.	.	PUNCT
cuesj-323	337	1	vol	vol	NOUN
cuesj-323	337	2	.	.	PUNCT
cuesj-323	338	1	890	890	NUM
cuesj-323	338	2	.	.	X
cuesj-323	339	1	berlin	berlin	PROPN
cuesj-323	339	2	,	,	PUNCT
cuesj-323	339	3	heidelberg	heidelberg	NOUN
cuesj-323	339	4	:	:	PUNCT
cuesj-323	339	5	springer	springer	NOUN
cuesj-323	339	6	,	,	PUNCT
cuesj-323	339	7	pp	pp	ADJ
cuesj-323	339	8	.	.	PUNCT
cuesj-323	340	1	1	1	NUM
cuesj-323	340	2	-	-	SYM
cuesj-323	340	3	39	39	NUM
cuesj-323	340	4	,	,	PUNCT
cuesj-323	340	5	1995	1995	NUM
cuesj-323	340	6	.	.	PUNCT
cuesj-323	341	1	30	30	NUM
cuesj-323	341	2	.	.	PUNCT
cuesj-323	341	3	n.	n.	PROPN
cuesj-323	341	4	kuhn	kuhn	PROPN
cuesj-323	341	5	,	,	PUNCT
cuesj-323	341	6	j.	j.	PROPN
cuesj-323	341	7	p.	p.	PROPN
cuesj-323	341	8	müller	müller	PROPN
cuesj-323	341	9	and	and	CCONJ
cuesj-323	341	10	j.	j.	PROPN
cuesj-323	341	11	müller	müller	PROPN
cuesj-323	341	12	.	.	PUNCT
cuesj-323	341	13	simulating	simulate	VERB
cuesj-323	341	14	cooperative	cooperative	ADJ
cuesj-323	341	15	transportation	transportation	NOUN
cuesj-323	341	16	companies	company	NOUN
cuesj-323	341	17	.	.	PUNCT
cuesj-323	342	1	in	in	ADP
cuesj-323	342	2	:	:	PUNCT
cuesj-323	342	3	j.	j.	PROPN
cuesj-323	342	4	biethahn	biethahn	PROPN
cuesj-323	342	5	,	,	PUNCT
cuesj-323	342	6	w.	w.	PROPN
cuesj-323	342	7	hummeltenberg	hummeltenberg	PROPN
cuesj-323	342	8	,	,	PUNCT
cuesj-323	342	9	b.	b.	PROPN
cuesj-323	342	10	schmidt	schmidt	PROPN
cuesj-323	342	11	and	and	CCONJ
cuesj-323	342	12	t.	t.	PROPN
cuesj-323	342	13	witte	witte	PROPN
cuesj-323	342	14	,	,	PUNCT
cuesj-323	342	15	(	(	PUNCT
cuesj-323	342	16	eds	ed	NOUN
cuesj-323	342	17	.	.	PUNCT
cuesj-323	342	18	)	)	PUNCT
cuesj-323	342	19	,	,	PUNCT
cuesj-323	342	20	simulation	simulation	NOUN
cuesj-323	342	21	als	als	VERB
cuesj-323	342	22	betriebliche	betriebliche	PROPN
cuesj-323	342	23	entscheidungshilfe	entscheidungshilfe	PROPN
cuesj-323	342	24	,	,	PUNCT
cuesj-323	342	25	wiesbaden	wiesbaden	PROPN
cuesj-323	342	26	:	:	PUNCT
cuesj-323	342	27	vieweg+teubner	vieweg+teubner	PROPN
cuesj-323	342	28	verlag	verlag	PROPN
cuesj-323	342	29	,	,	PUNCT
cuesj-323	342	30	pp	pp	ADP
cuesj-323	342	31	.	.	PUNCT
cuesj-323	342	32	263274	263274	NUM
cuesj-323	342	33	,	,	PUNCT
cuesj-323	342	34	1994	1994	NUM
cuesj-323	342	35	.	.	PUNCT
cuesj-323	343	1	31	31	NUM
cuesj-323	343	2	.	.	PUNCT
cuesj-323	344	1	r.	r.	PROPN
cuesj-323	344	2	kohout	kohout	PROPN
cuesj-323	344	3	and	and	CCONJ
cuesj-323	344	4	k.	k.	PROPN
cuesj-323	344	5	erol	erol	PROPN
cuesj-323	344	6	.	.	PUNCT
cuesj-323	345	1	in	in	ADP
cuesj-323	345	2	-	-	PUNCT
cuesj-323	345	3	time	time	NOUN
cuesj-323	345	4	agent	agent	NOUN
cuesj-323	345	5	-	-	PUNCT
cuesj-323	345	6	based	base	VERB
cuesj-323	345	7	vehicle	vehicle	NOUN
cuesj-323	345	8	routing	route	VERB
cuesj-323	345	9	with	with	ADP
cuesj-323	345	10	a	a	DET
cuesj-323	345	11	stochastic	stochastic	ADJ
cuesj-323	345	12	improvement	improvement	NOUN
cuesj-323	345	13	heuristic	heuristic	NOUN
cuesj-323	345	14	.	.	PUNCT
cuesj-323	346	1	menlo	menlo	PROPN
cuesj-323	346	2	park	park	PROPN
cuesj-323	346	3	,	,	PUNCT
cuesj-323	346	4	california	california	PROPN
cuesj-323	346	5	:	:	PUNCT
cuesj-323	346	6	american	american	PROPN
cuesj-323	346	7	association	association	PROPN
cuesj-323	346	8	for	for	ADP
cuesj-323	346	9	artificial	artificial	ADJ
cuesj-323	346	10	intelligence	intelligence	NOUN
cuesj-323	346	11	,	,	PUNCT
cuesj-323	346	12	pp	pp	PROPN
cuesj-323	346	13	.	.	PUNCT
cuesj-323	347	1	864	864	NUM
cuesj-323	347	2	-	-	SYM
cuesj-323	347	3	869	869	NUM
cuesj-323	347	4	,	,	PUNCT
cuesj-323	347	5	1999	1999	NUM
cuesj-323	347	6	.	.	PUNCT
cuesj-323	348	1	32	32	NUM
cuesj-323	348	2	.	.	PUNCT
cuesj-323	348	3	b.	b.	PROPN
cuesj-323	348	4	zeddini	zeddini	PROPN
cuesj-323	348	5	,	,	PUNCT
cuesj-323	348	6	m.	m.	NOUN
cuesj-323	348	7	temani	temani	PROPN
cuesj-323	348	8	,	,	PUNCT
cuesj-323	348	9	a.	a.	PROPN
cuesj-323	348	10	yassine	yassine	PROPN
cuesj-323	348	11	and	and	CCONJ
cuesj-323	348	12	k.	k.	PROPN
cuesj-323	348	13	ghedira	ghedira	PROPN
cuesj-323	348	14	.	.	PUNCT
cuesj-323	349	1	an	an	DET
cuesj-323	349	2	agentoriented	agentoriente	VERB
cuesj-323	349	3	approach	approach	NOUN
cuesj-323	349	4	for	for	ADP
cuesj-323	349	5	the	the	DET
cuesj-323	349	6	dynamic	dynamic	ADJ
cuesj-323	349	7	vehicle	vehicle	NOUN
cuesj-323	349	8	routing	routing	NOUN
cuesj-323	349	9	problem	problem	NOUN
cuesj-323	349	10	.	.	PUNCT
cuesj-323	350	1	in	in	ADP
cuesj-323	350	2	:	:	PUNCT
cuesj-323	350	3	2008	2008	NUM
cuesj-323	350	4	international	international	ADJ
cuesj-323	350	5	workshop	workshop	NOUN
cuesj-323	350	6	on	on	ADP
cuesj-323	350	7	advanced	advanced	ADJ
cuesj-323	350	8	information	information	NOUN
cuesj-323	350	9	systems	system	NOUN
cuesj-323	350	10	for	for	ADP
cuesj-323	350	11	enterprises	enterprise	NOUN
cuesj-323	350	12	,	,	PUNCT
cuesj-323	350	13	pp	pp	ADV
cuesj-323	350	14	.	.	PUNCT
cuesj-323	350	15	70	70	NUM
cuesj-323	350	16	-	-	SYM
cuesj-323	350	17	76	76	NUM
cuesj-323	350	18	,	,	PUNCT
cuesj-323	350	19	2008	2008	NUM
cuesj-323	350	20	.	.	PUNCT
cuesj-323	351	1	33	33	NUM
cuesj-323	351	2	.	.	PUNCT
cuesj-323	352	1	d.	d.	PROPN
cuesj-323	352	2	barbucha	barbucha	PROPN
cuesj-323	352	3	and	and	CCONJ
cuesj-323	352	4	p.	p.	PROPN
cuesj-323	352	5	jedrzejowicz	jedrzejowicz	NOUN
cuesj-323	352	6	.	.	PUNCT
cuesj-323	353	1	an	an	DET
cuesj-323	353	2	agent	agent	NOUN
cuesj-323	353	3	-	-	PUNCT
cuesj-323	353	4	based	base	VERB
cuesj-323	353	5	approach	approach	NOUN
cuesj-323	353	6	to	to	ADP
cuesj-323	353	7	vehicle	vehicle	NOUN
cuesj-323	353	8	routing	routing	NOUN
cuesj-323	353	9	problem	problem	NOUN
cuesj-323	353	10	.	.	PUNCT
cuesj-323	354	1	international	international	ADJ
cuesj-323	354	2	journal	journal	PROPN
cuesj-323	354	3	of	of	ADP
cuesj-323	354	4	computer	computer	NOUN
cuesj-323	354	5	and	and	CCONJ
cuesj-323	354	6	information	information	NOUN
cuesj-323	354	7	technology	technology	NOUN
cuesj-323	354	8	,	,	PUNCT
cuesj-323	354	9	vol	vol	NOUN
cuesj-323	354	10	.	.	PROPN
cuesj-323	354	11	1	1	NUM
cuesj-323	354	12	,	,	PUNCT
cuesj-323	354	13	no	no	INTJ
cuesj-323	354	14	.	.	NOUN
cuesj-323	354	15	2	2	NUM
cuesj-323	354	16	,	,	PUNCT
cuesj-323	354	17	p.	p.	NOUN
cuesj-323	354	18	6	6	NUM
cuesj-323	354	19	,	,	PUNCT
cuesj-323	354	20	2007	2007	NUM
cuesj-323	354	21	.	.	PUNCT
cuesj-323	355	1	34	34	NUM
cuesj-323	355	2	.	.	PUNCT
cuesj-323	356	1	d.	d.	PROPN
cuesj-323	356	2	barbucha	barbucha	PROPN
cuesj-323	356	3	and	and	CCONJ
cuesj-323	356	4	p.	p.	PROPN
cuesj-323	356	5	jȩdrzejowicz	jȩdrzejowicz	PROPN
cuesj-323	356	6	.	.	PUNCT
cuesj-323	357	1	agent	agent	NOUN
cuesj-323	357	2	-	-	PUNCT
cuesj-323	357	3	based	base	VERB
cuesj-323	357	4	approach	approach	NOUN
cuesj-323	357	5	to	to	ADP
cuesj-323	357	6	the	the	DET
cuesj-323	357	7	dynamic	dynamic	ADJ
cuesj-323	357	8	vehicle	vehicle	NOUN
cuesj-323	357	9	routing	routing	NOUN
cuesj-323	357	10	problem	problem	NOUN
cuesj-323	357	11	.	.	PUNCT
cuesj-323	358	1	berlin	berlin	PROPN
cuesj-323	358	2	,	,	PUNCT
cuesj-323	358	3	heidelberg	heidelberg	PROPN
cuesj-323	358	4	:	:	PUNCT
cuesj-323	358	5	7th	7th	ADJ
cuesj-323	358	6	international	international	ADJ
cuesj-323	358	7	conference	conference	NOUN
cuesj-323	358	8	on	on	ADP
cuesj-323	358	9	practical	practical	ADJ
cuesj-323	358	10	applications	application	NOUN
cuesj-323	358	11	of	of	ADP
cuesj-323	358	12	agents	agent	NOUN
cuesj-323	358	13	and	and	CCONJ
cuesj-323	358	14	multi	multi	ADJ
cuesj-323	358	15	-	-	ADJ
cuesj-323	358	16	agent	agent	ADJ
cuesj-323	358	17	systems	system	NOUN
cuesj-323	358	18	(	(	PUNCT
cuesj-323	358	19	paams	paam	NOUN
cuesj-323	358	20	2009	2009	NUM
cuesj-323	358	21	)	)	PUNCT
cuesj-323	358	22	,	,	PUNCT
cuesj-323	358	23	pp	pp	PROPN
cuesj-323	358	24	.	.	PUNCT
cuesj-323	359	1	169	169	NUM
cuesj-323	359	2	-	-	SYM
cuesj-323	359	3	178	178	NUM
cuesj-323	359	4	,	,	PUNCT
cuesj-323	359	5	2009	2009	NUM
cuesj-323	359	6	.	.	PUNCT
cuesj-323	360	1	35	35	NUM
cuesj-323	360	2	.	.	PUNCT
cuesj-323	360	3	d.	d.	PROPN
cuesj-323	360	4	barbucha	barbucha	PROPN
cuesj-323	360	5	.	.	PUNCT
cuesj-323	361	1	agent	agent	NOUN
cuesj-323	361	2	-	-	PUNCT
cuesj-323	361	3	based	base	VERB
cuesj-323	361	4	guided	guide	VERB
cuesj-323	361	5	local	local	ADJ
cuesj-323	361	6	search	search	NOUN
cuesj-323	361	7	.	.	PUNCT
cuesj-323	362	1	expert	expert	NOUN
cuesj-323	362	2	systems	system	NOUN
cuesj-323	362	3	with	with	ADP
cuesj-323	362	4	applications	application	NOUN
cuesj-323	362	5	,	,	PUNCT
cuesj-323	362	6	vol	vol	NOUN
cuesj-323	362	7	.	.	PROPN
cuesj-323	362	8	39	39	NUM
cuesj-323	362	9	,	,	PUNCT
cuesj-323	362	10	no	no	INTJ
cuesj-323	362	11	.	.	NOUN
cuesj-323	362	12	15	15	NUM
cuesj-323	362	13	,	,	PUNCT
cuesj-323	362	14	pp	pp	ADJ
cuesj-323	362	15	.	.	PUNCT
cuesj-323	363	1	12032	12032	NUM
cuesj-323	363	2	-	-	SYM
cuesj-323	363	3	12045	12045	NUM
cuesj-323	363	4	,	,	PUNCT
cuesj-323	363	5	2012	2012	NUM
cuesj-323	363	6	.	.	PUNCT
cuesj-323	364	1	36	36	NUM
cuesj-323	364	2	.	.	X
cuesj-323	364	3	d.	d.	PROPN
cuesj-323	364	4	barbucha	barbucha	PROPN
cuesj-323	364	5	.	.	PUNCT
cuesj-323	365	1	experimental	experimental	ADJ
cuesj-323	365	2	study	study	NOUN
cuesj-323	365	3	of	of	ADP
cuesj-323	365	4	the	the	DET
cuesj-323	365	5	population	population	NOUN
cuesj-323	365	6	parameters	parameter	NOUN
cuesj-323	365	7	settings	setting	NOUN
cuesj-323	365	8	in	in	ADP
cuesj-323	365	9	cooperative	cooperative	ADJ
cuesj-323	365	10	multi	multi	ADJ
cuesj-323	365	11	-	-	ADJ
cuesj-323	365	12	agent	agent	ADJ
cuesj-323	365	13	system	system	NOUN
cuesj-323	365	14	solving	solve	VERB
cuesj-323	365	15	instances	instance	NOUN
cuesj-323	365	16	of	of	ADP
cuesj-323	365	17	the	the	DET
cuesj-323	365	18	vrp	vrp	NOUN
cuesj-323	365	19	.	.	PUNCT
cuesj-323	366	1	in	in	ADP
cuesj-323	366	2	:	:	PUNCT
cuesj-323	366	3	n.	n.	PROPN
cuesj-323	366	4	t.	t.	PROPN
cuesj-323	366	5	nguyen	nguyen	PROPN
cuesj-323	366	6	,	,	PUNCT
cuesj-323	366	7	(	(	PUNCT
cuesj-323	366	8	ed	ed	NOUN
cuesj-323	366	9	.	.	PUNCT
cuesj-323	366	10	)	)	PUNCT
cuesj-323	366	11	,	,	PUNCT
cuesj-323	366	12	transactions	transaction	NOUN
cuesj-323	366	13	on	on	ADP
cuesj-323	366	14	computational	computational	ADJ
cuesj-323	366	15	collective	collective	ADJ
cuesj-323	366	16	intelligence	intelligence	NOUN
cuesj-323	366	17	i	i	PRON
cuesj-323	366	18	×	×	VERB
cuesj-323	366	19	.	.	PUNCT
cuesj-323	367	1	vol	vol	NOUN
cuesj-323	367	2	.	.	PUNCT
cuesj-323	367	3	7770	7770	NUM
cuesj-323	367	4	.	.	PUNCT
cuesj-323	368	1	berlin	berlin	PROPN
cuesj-323	368	2	,	,	PUNCT
cuesj-323	368	3	heidelberg	heidelberg	PROPN
cuesj-323	368	4	:	:	PUNCT
cuesj-323	368	5	springer	springer	PROPN
cuesj-323	368	6	berlin	berlin	PROPN
cuesj-323	368	7	heidelberg	heidelberg	PROPN
cuesj-323	368	8	,	,	PUNCT
cuesj-323	368	9	pp	pp	PROPN
cuesj-323	368	10	.	.	PUNCT
cuesj-323	369	1	1	1	NUM
cuesj-323	369	2	-	-	SYM
cuesj-323	369	3	28	28	NUM
cuesj-323	369	4	,	,	PUNCT
cuesj-323	369	5	2013	2013	NUM
cuesj-323	369	6	.	.	PUNCT
cuesj-323	370	1	37	37	NUM
cuesj-323	370	2	.	.	PUNCT
cuesj-323	370	3	d.	d.	PROPN
cuesj-323	370	4	barbucha	barbucha	PROPN
cuesj-323	370	5	.	.	PUNCT
cuesj-323	371	1	multi	multi	ADJ
cuesj-323	371	2	-	-	ADJ
cuesj-323	371	3	agent	agent	ADJ
cuesj-323	371	4	approach	approach	NOUN
cuesj-323	371	5	to	to	ADP
cuesj-323	371	6	the	the	DET
cuesj-323	371	7	dvrp	dvrp	NOUN
cuesj-323	371	8	with	with	ADP
cuesj-323	371	9	gls	gls	ADJ
cuesj-323	371	10	improvement	improvement	NOUN
cuesj-323	371	11	procedure	procedure	NOUN
cuesj-323	371	12	.	.	PUNCT
cuesj-323	372	1	singapore	singapore	NOUN
cuesj-323	372	2	:	:	PUNCT
cuesj-323	372	3	intelligent	intelligent	ADJ
cuesj-323	372	4	decision	decision	NOUN
cuesj-323	372	5	technologies	technology	NOUN
cuesj-323	372	6	,	,	PUNCT
cuesj-323	372	7	pp	pp	ADJ
cuesj-323	372	8	.	.	PUNCT
cuesj-323	373	1	117	117	NUM
cuesj-323	373	2	-	-	SYM
cuesj-323	373	3	126	126	NUM
cuesj-323	373	4	,	,	PUNCT
cuesj-323	373	5	2020	2020	NUM
cuesj-323	373	6	.	.	PUNCT
cuesj-323	374	1	38	38	NUM
cuesj-323	374	2	.	.	PUNCT
cuesj-323	375	1	j.	j.	PROPN
cuesj-323	375	2	vokřínek	vokřínek	PROPN
cuesj-323	375	3	,	,	PUNCT
cuesj-323	375	4	a.	a.	NOUN
cuesj-323	375	5	komenda	komenda	NOUN
cuesj-323	375	6	and	and	CCONJ
cuesj-323	375	7	m.	m.	NOUN
cuesj-323	375	8	echouček	echouček	PROPN
cuesj-323	375	9	.	.	PUNCT
cuesj-323	376	1	agents	agent	NOUN
cuesj-323	376	2	towards	towards	ADP
cuesj-323	376	3	vehicle	vehicle	NOUN
cuesj-323	376	4	routing	routing	NOUN
cuesj-323	376	5	problems	problem	NOUN
cuesj-323	376	6	.	.	PUNCT
cuesj-323	377	1	in	in	ADP
cuesj-323	377	2	:	:	PUNCT
cuesj-323	377	3	proceedings	proceeding	NOUN
cuesj-323	377	4	of	of	ADP
cuesj-323	377	5	the	the	DET
cuesj-323	377	6	9th	9th	ADJ
cuesj-323	377	7	international	international	ADJ
cuesj-323	377	8	conference	conference	NOUN
cuesj-323	377	9	on	on	ADP
cuesj-323	377	10	autonomous	autonomous	ADJ
cuesj-323	377	11	agents	agent	NOUN
cuesj-323	377	12	and	and	CCONJ
cuesj-323	377	13	multiagent	multiagent	NOUN
cuesj-323	377	14	systems	system	NOUN
cuesj-323	377	15	,	,	PUNCT
cuesj-323	377	16	pp	pp	ADP
cuesj-323	377	17	.	.	PUNCT
cuesj-323	377	18	773	773	NUM
cuesj-323	377	19	-	-	SYM
cuesj-323	377	20	780	780	NUM
cuesj-323	377	21	,	,	PUNCT
cuesj-323	377	22	2010	2010	NUM
cuesj-323	377	23	.	.	PUNCT
cuesj-323	377	24	39	39	NUM
cuesj-323	377	25	.	.	PUNCT
cuesj-323	378	1	p.	p.	NOUN
cuesj-323	378	2	kalina	kalina	PROPN
cuesj-323	378	3	and	and	CCONJ
cuesj-323	378	4	j.	j.	PROPN
cuesj-323	378	5	vokřínek	vokřínek	PROPN
cuesj-323	378	6	.	.	PUNCT
cuesj-323	379	1	parallel	parallel	NOUN
cuesj-323	379	2	solver	solver	PROPN
cuesj-323	379	3	for	for	ADP
cuesj-323	379	4	vehicle	vehicle	NOUN
cuesj-323	379	5	routing	routing	NOUN
cuesj-323	379	6	and	and	CCONJ
cuesj-323	379	7	pickup	pickup	NOUN
cuesj-323	379	8	and	and	CCONJ
cuesj-323	379	9	delivery	delivery	NOUN
cuesj-323	379	10	problems	problem	NOUN
cuesj-323	379	11	with	with	ADP
cuesj-323	379	12	time	time	NOUN
cuesj-323	379	13	windows	window	NOUN
cuesj-323	379	14	based	base	VERB
cuesj-323	379	15	abu	abu	PROPN
cuesj-323	379	16	-	-	PUNCT
cuesj-323	379	17	monshar	monshar	PROPN
cuesj-323	379	18	,	,	PUNCT
cuesj-323	379	19	et	et	PROPN
cuesj-323	379	20	al	al	PROPN
cuesj-323	379	21	.	.	PROPN
cuesj-323	379	22	:	:	PUNCT
cuesj-323	380	1	vehicle	vehicle	NOUN
cuesj-323	380	2	breakdown	breakdown	NOUN
cuesj-323	380	3	in	in	ADP
cuesj-323	380	4	dvrp	dvrp	PROPN
cuesj-323	380	5	10	10	NUM
cuesj-323	380	6	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-323	380	7	cuesj	cuesj	ADJ
cuesj-323	380	8	2021	2021	NUM
cuesj-323	380	9	,	,	PUNCT
cuesj-323	380	10	5	5	NUM
cuesj-323	380	11	(	(	PUNCT
cuesj-323	380	12	1	1	NUM
cuesj-323	380	13	):	):	PUNCT
cuesj-323	380	14	1	1	NUM
cuesj-323	380	15	-	-	SYM
cuesj-323	380	16	10	10	NUM
cuesj-323	380	17	on	on	ADP
cuesj-323	380	18	agent	agent	NOUN
cuesj-323	380	19	negotiation	negotiation	NOUN
cuesj-323	380	20	.	.	PUNCT
cuesj-323	381	1	2012	2012	NUM
cuesj-323	381	2	ieee	ieee	PROPN
cuesj-323	381	3	international	international	ADJ
cuesj-323	381	4	conference	conference	NOUN
cuesj-323	381	5	on	on	ADP
cuesj-323	381	6	systems	system	NOUN
cuesj-323	381	7	man	man	NOUN
cuesj-323	381	8	and	and	CCONJ
cuesj-323	381	9	cybernetics	cybernetic	NOUN
cuesj-323	381	10	,	,	PUNCT
cuesj-323	381	11	pp	pp	ADP
cuesj-323	381	12	.	.	PUNCT
cuesj-323	381	13	1558	1558	NUM
cuesj-323	381	14	-	-	SYM
cuesj-323	381	15	1563	1563	NUM
cuesj-323	381	16	,	,	PUNCT
cuesj-323	381	17	2012	2012	NUM
cuesj-323	381	18	.	.	PUNCT
cuesj-323	382	1	40	40	NUM
cuesj-323	382	2	.	.	PUNCT
cuesj-323	383	1	m.	m.	PROPN
cuesj-323	383	2	maciejewski	maciejewski	PROPN
cuesj-323	383	3	and	and	CCONJ
cuesj-323	383	4	k.	k.	PROPN
cuesj-323	383	5	nagel	nagel	PROPN
cuesj-323	383	6	.	.	PROPN
cuesj-323	384	1	towards	towards	ADP
cuesj-323	384	2	multi	multi	ADJ
cuesj-323	384	3	-	-	ADJ
cuesj-323	384	4	agent	agent	ADJ
cuesj-323	384	5	simulation	simulation	NOUN
cuesj-323	384	6	of	of	ADP
cuesj-323	384	7	the	the	DET
cuesj-323	384	8	dynamic	dynamic	ADJ
cuesj-323	384	9	vehicle	vehicle	NOUN
cuesj-323	384	10	routing	routing	NOUN
cuesj-323	384	11	problem	problem	NOUN
cuesj-323	384	12	in	in	ADP
cuesj-323	384	13	matsim	matsim	NOUN
cuesj-323	384	14	.	.	PUNCT
cuesj-323	385	1	in	in	ADP
cuesj-323	385	2	:	:	PUNCT
cuesj-323	385	3	r.	r.	PROPN
cuesj-323	385	4	wyrzykowski	wyrzykowski	PROPN
cuesj-323	385	5	,	,	PUNCT
cuesj-323	385	6	j.	j.	PROPN
cuesj-323	385	7	dongarra	dongarra	PROPN
cuesj-323	385	8	,	,	PUNCT
cuesj-323	385	9	k.	k.	PROPN
cuesj-323	385	10	karczewski	karczewski	PROPN
cuesj-323	385	11	and	and	CCONJ
cuesj-323	385	12	j.	j.	PROPN
cuesj-323	385	13	waśniewski	waśniewski	PROPN
cuesj-323	385	14	,	,	PUNCT
cuesj-323	385	15	(	(	PUNCT
cuesj-323	385	16	eds	ed	NOUN
cuesj-323	385	17	.	.	PUNCT
cuesj-323	385	18	)	)	PUNCT
cuesj-323	385	19	,	,	PUNCT
cuesj-323	385	20	parallel	parallel	ADJ
cuesj-323	385	21	processing	processing	NOUN
cuesj-323	385	22	and	and	CCONJ
cuesj-323	385	23	applied	apply	VERB
cuesj-323	385	24	mathematics	mathematic	NOUN
cuesj-323	385	25	.	.	PUNCT
cuesj-323	385	26	vol	vol	NOUN
cuesj-323	385	27	.	.	PUNCT
cuesj-323	385	28	7204	7204	NUM
cuesj-323	385	29	.	.	PUNCT
cuesj-323	386	1	berlin	berlin	PROPN
cuesj-323	386	2	,	,	PUNCT
cuesj-323	386	3	heidelberg	heidelberg	PROPN
cuesj-323	386	4	:	:	PUNCT
cuesj-323	386	5	springer	springer	PROPN
cuesj-323	386	6	berlin	berlin	PROPN
cuesj-323	386	7	heidelberg	heidelberg	PROPN
cuesj-323	386	8	,	,	PUNCT
cuesj-323	386	9	pp	pp	X
cuesj-323	386	10	.	.	PUNCT
cuesj-323	387	1	551	551	NUM
cuesj-323	387	2	-	-	SYM
cuesj-323	387	3	560	560	NUM
cuesj-323	387	4	,	,	PUNCT
cuesj-323	387	5	2012	2012	NUM
cuesj-323	387	6	.	.	PUNCT
cuesj-323	388	1	41	41	NUM
cuesj-323	388	2	.	.	PUNCT
cuesj-323	388	3	m.	m.	PROPN
cuesj-323	388	4	gath	gath	PROPN
cuesj-323	388	5	,	,	PUNCT
cuesj-323	388	6	s.	s.	PROPN
cuesj-323	388	7	edelkamp	edelkamp	PROPN
cuesj-323	388	8	and	and	CCONJ
cuesj-323	388	9	o.	o.	PROPN
cuesj-323	388	10	herzog	herzog	PROPN
cuesj-323	388	11	.	.	PUNCT
cuesj-323	389	1	agent	agent	NOUN
cuesj-323	389	2	-	-	PUNCT
cuesj-323	389	3	based	base	VERB
cuesj-323	389	4	dispatching	dispatching	NOUN
cuesj-323	389	5	in	in	ADP
cuesj-323	389	6	groupage	groupage	NOUN
cuesj-323	389	7	traffic	traffic	NOUN
cuesj-323	389	8	.	.	PUNCT
cuesj-323	390	1	singapore	singapore	PROPN
cuesj-323	390	2	,	,	PUNCT
cuesj-323	390	3	singapore	singapore	PROPN
cuesj-323	390	4	:	:	PUNCT
cuesj-323	390	5	2013	2013	NUM
cuesj-323	390	6	ieee	ieee	NOUN
cuesj-323	390	7	symposium	symposium	NOUN
cuesj-323	390	8	on	on	ADP
cuesj-323	390	9	computational	computational	ADJ
cuesj-323	390	10	intelligence	intelligence	NOUN
cuesj-323	390	11	in	in	ADP
cuesj-323	390	12	production	production	NOUN
cuesj-323	390	13	and	and	CCONJ
cuesj-323	390	14	logistics	logistic	NOUN
cuesj-323	390	15	systems	system	NOUN
cuesj-323	390	16	(	(	PUNCT
cuesj-323	390	17	cipls	cipls	NOUN
cuesj-323	390	18	)	)	PUNCT
cuesj-323	390	19	,	,	PUNCT
cuesj-323	390	20	pp	pp	ADP
cuesj-323	390	21	.	.	PUNCT
cuesj-323	391	1	54	54	NUM
cuesj-323	391	2	-	-	SYM
cuesj-323	391	3	60	60	NUM
cuesj-323	391	4	,	,	PUNCT
cuesj-323	391	5	2013	2013	NUM
cuesj-323	391	6	.	.	PUNCT
cuesj-323	392	1	42	42	NUM
cuesj-323	392	2	.	.	PUNCT
cuesj-323	393	1	s.	s.	PROPN
cuesj-323	393	2	k.	k.	PROPN
cuesj-323	393	3	nambiar	nambiar	PROPN
cuesj-323	393	4	and	and	CCONJ
cuesj-323	393	5	s.	s.	PROPN
cuesj-323	393	6	m.	m.	PROPN
cuesj-323	393	7	idicula	idicula	PROPN
cuesj-323	393	8	.	.	PUNCT
cuesj-323	394	1	a	a	DET
cuesj-323	394	2	multi	multi	ADJ
cuesj-323	394	3	-	-	ADJ
cuesj-323	394	4	agent	agent	ADJ
cuesj-323	394	5	vehicle	vehicle	NOUN
cuesj-323	394	6	routing	routing	NOUN
cuesj-323	394	7	system	system	NOUN
cuesj-323	394	8	for	for	ADP
cuesj-323	394	9	garbage	garbage	NOUN
cuesj-323	394	10	collection	collection	NOUN
cuesj-323	394	11	.	.	PUNCT
cuesj-323	395	1	in	in	ADP
cuesj-323	395	2	:	:	PUNCT
cuesj-323	395	3	2013	2013	NUM
cuesj-323	395	4	5th	5th	ADJ
cuesj-323	395	5	international	international	ADJ
cuesj-323	395	6	conference	conference	NOUN
cuesj-323	395	7	on	on	ADP
cuesj-323	395	8	advanced	advanced	ADJ
cuesj-323	395	9	computing	computing	NOUN
cuesj-323	395	10	(	(	PUNCT
cuesj-323	395	11	icoac	icoac	NOUN
cuesj-323	395	12	)	)	PUNCT
cuesj-323	395	13	,	,	PUNCT
cuesj-323	395	14	dec	dec	PROPN
cuesj-323	395	15	,	,	PUNCT
cuesj-323	395	16	pp	pp	PROPN
cuesj-323	395	17	.	.	PUNCT
cuesj-323	395	18	72	72	NUM
cuesj-323	395	19	-	-	SYM
cuesj-323	395	20	76	76	NUM
cuesj-323	395	21	,	,	PUNCT
cuesj-323	395	22	2013	2013	NUM
cuesj-323	395	23	.	.	PUNCT
cuesj-323	396	1	43	43	NUM
cuesj-323	396	2	.	.	PUNCT
cuesj-323	396	3	a.	a.	PROPN
cuesj-323	396	4	pan	pan	PROPN
cuesj-323	396	5	,	,	PUNCT
cuesj-323	396	6	s.	s.	PROPN
cuesj-323	396	7	y.	y.	PROPN
cuesj-323	396	8	s.	s.	PROPN
cuesj-323	396	9	leung	leung	PROPN
cuesj-323	396	10	,	,	PUNCT
cuesj-323	396	11	k.	k.	PROPN
cuesj-323	396	12	l.	l.	PROPN
cuesj-323	396	13	moon	moon	PROPN
cuesj-323	396	14	and	and	CCONJ
cuesj-323	396	15	k.	k.	PROPN
cuesj-323	396	16	w.	w.	PROPN
cuesj-323	396	17	yeung	yeung	PROPN
cuesj-323	396	18	.	.	PUNCT
cuesj-323	397	1	optimal	optimal	ADJ
cuesj-323	397	2	reorder	reorder	NOUN
cuesj-323	397	3	decision	decision	NOUN
cuesj-323	397	4	-	-	PUNCT
cuesj-323	397	5	making	making	NOUN
cuesj-323	397	6	in	in	ADP
cuesj-323	397	7	the	the	DET
cuesj-323	397	8	agent	agent	NOUN
cuesj-323	397	9	-	-	PUNCT
cuesj-323	397	10	based	base	VERB
cuesj-323	397	11	apparel	apparel	NOUN
cuesj-323	397	12	supply	supply	NOUN
cuesj-323	397	13	chain	chain	NOUN
cuesj-323	397	14	.	.	PUNCT
cuesj-323	398	1	expert	expert	NOUN
cuesj-323	398	2	systems	system	NOUN
cuesj-323	398	3	with	with	ADP
cuesj-323	398	4	applications	application	NOUN
cuesj-323	398	5	,	,	PUNCT
cuesj-323	398	6	vol	vol	NOUN
cuesj-323	398	7	.	.	PROPN
cuesj-323	399	1	36	36	NUM
cuesj-323	399	2	,	,	PUNCT
cuesj-323	399	3	no	no	INTJ
cuesj-323	399	4	.	.	NOUN
cuesj-323	399	5	4	4	NUM
cuesj-323	399	6	,	,	PUNCT
cuesj-323	399	7	pp	pp	ADJ
cuesj-323	399	8	.	.	PUNCT
cuesj-323	399	9	8571	8571	NUM
cuesj-323	399	10	-	-	SYM
cuesj-323	399	11	8581	8581	NUM
cuesj-323	399	12	,	,	PUNCT
cuesj-323	399	13	2009	2009	NUM
cuesj-323	399	14	.	.	PUNCT