Georgian Scientists/ . 6 N 1, 2024 186 Georgian Scientists Vol. 6 Issue 1, 2024 https://doi.org/10.52340/gs.2024.06.01.25 „ “ 1, 2 1 , ; 2 , , , : , , , . ; , , „ “ ; „ “; , ; , . -( ) ; , ; , : ) ; ) Georgian Scientists/ . 6 N 1, 2024 187 , ( , , .). , „ “ . , , . : , , , , . „ “ : - ( ). . , , , , . , , , . 1. . . ( . 1). , ( ) . , . , . , 0-1 (1). . , 2-3 2-6 , 2-9 8-5 Georgian Scientists/ . 6 N 1, 2024 188 4-5 . , . , , , “ . , . (0-1) , . (2-3) , , . , . 1 „ “ i j 1 2 3 0 1 , 1 2 : - ( )- 0 2 2 3 3 4 Georgian Scientists/ . 6 N 1, 2024 189 4 5 0 6 2 6 . 6 7 7 8 8 5 5 9 1 9 9 10 .1. (3-4), „ “, . ( ) qo : Georgian Scientists/ . 6 N 1, 2024 190 = (1) , - ( ); - ( ); - ; - . . „ “ , , , , . B1 B2 , . 2. . 2 , A - ; B1, B2 - ; C - . , : 1. B2 , B1 ( ); 2. B1 , B2 ( ); Georgian Scientists/ . 6 N 1, 2024 191 , - . , ( 2). 2 1 2 , ( ) 59 54 36 31 23 23 0,38 0,42 2- . , , , . , . , : , - , ; - , ; - A- ( ), ; – ( ) ( = 1, 2, . . . . , ); - ; - ; - . , . (3) Georgian Scientists/ . 6 N 1, 2024 192 , . 3 B1 B2 . . . . . . . . . Bj . . . . . . . . . Bn B1 5 8 1 -3 B2 9 17 1 -8 , - B2 . , . , . Georgian Scientists/ . 6 N 1, 2024 193 - - ( ) , : , - , ( ); - , ( ); R- , ( ); C- , ( ); I- , ( / ). , : = + (5) , Q - , ( ). , . . , . , , , ( ) , (4) . . , [2]. . Georgian Scientists/ . 6 N 1, 2024 194 . ) (Z , ) , ( , , - , , , .), ( ). (Q ) (D ) . (Q ): = (6) , - ( ). ( 2, 3, , .) , : = , (7) , - , . , ( ) , ( ) - . ) ( , ) ( , , .). , : = (8) , - , . : Georgian Scientists/ . 6 N 1, 2024 195 = + , (9) , ( ) , . , : . . , , . , , : = , (10) (10)- , : = + = + = ( + ) , (11) -„ “ . . , . (7)- . : = + = + , (12) , , , , ( ) , , (Q =Q ): = = = ( ) , (13) (13) : = + , (14) , , ( ) (Q* Qmax), Georgian Scientists/ . 6 N 1, 2024 196 . ( ) (Q* ) (Q* > Qmax), (Qmax=Q ) - (Qmax=Q), (Q* =Qmax ). , (5) (11), (12) (14) . . . [2]- . [3]- , , , , , , , ) . , . , , ( ) , . ( ) , . . , : = (15) , - , ; Georgian Scientists/ . 6 N 1, 2024 197 - , . , . , , , , . , . , , . , . , , . . . 1. . , . , . , . . . . . 2015. 522 . 2. ., . . // : . .: , 2001. 227 . 3. , . . .: , 1999. 512 . 4. V.V. Borisova, D.K.-S. Bataev, T.S. Tasueva. Logistic Agroindustrial Cluster As A Strategic Tool For Regional Development. 2019. Logistic Agroindustrial Cluster As A Strategic Tool For Regional Development | European Proceedings. 5. D. Vanecek, D. Kalab. Logistics in agricultural production. chrome-extension: https://agricecon.agriculturejournals.cz/pdfs/age/2003/09/08.pdf Georgian Scientists/ . 6 N 1, 2024 198 Determination of “just-in-time” service and optimal order size in the logistics system of the regional agro cluster Malkhaz Meburishvili1, Tea Tskipurishvili2 1Doctor of Engineering, Associate Professor at the Faculty of Technical Engineering, Akaki Tsereteli State University, Georgia, Kutaisi; 2Doctor of Engineering, visiting teacher at the Faculty of Technical Engineering, Akaki Tsereteli State University, Georgia, Kutaisi Abstract: The article considers the example of coordinated and effective functioning of the parties involved in the process related to road transport services in the logistics system of the regional agro cluster – “regional warehouses of the agro cluster, road transport, customers". As an illustration, one of the options for delivering products to the customer according to the agreed schedule and the list of works to be performed are presented; Using graph theory, a network graph is drawn up, which allows to determine the entire cycle of work, which is necessary for drawing up an agreed schedule for the delivery of products to consumers in a regional agro cluster and working with a “just-in-time” system. To determine the quantity of products to be delivered, the scientific direction Inventory Management is used. An example of determining the optimal route for shipping products is given, where it is determined which option should be chosen; the problem set to verify the correctness of the choice is solved by a mathematical method, where the problem of drawing up a rational route with the minimization formula is applied to the problem of linear programming. In supply management, Wilson's formula is introduced to determine the optimal order size - (OOS). Various works have been analyzed, where optimal order size report methods and application practices are discussed. The formation of costs for storage of products and the amount of costs incurred for storage are discussed, which include: a) constant costs for storage and maintenance of a unit of products in stock in a specified period and the amount of constant costs for storage and maintenance of a unit of products in the same period; b) variable costs of the unit of production in the period under review, which are related to the current costs of inventory services (control, accounting, etc.). As an example, options for using warehouse space are discussed, in the form of flexible inventory management and “fixed” stock management. Consideration of transport costs when calculating the OOS, optimization of costs for the performance of logistics functions, and the function of providing customers with products defined in the agro cluster correspond to the modern approach to the effective operation of the logistics system of the regional agro cluster. Keywords: regional agro cluster; delivery of products; optimal route of delivery; optimal order size; inventor storage costs.