












































Microsoft Word - 44-52_149.docx


Defense and
Vol. 1, Decem
https://doi.org

This work is lice
to share and ada
authorship and in
 

 
 
Quality 
short re
 
Benjamin R
1 Mechanical E
 
 

*Correspond
© The Auth
2020. 
Published by
ARDA. 
 
 

 

1. Introdu
Quality man
dominance i
technology i
Managemen
implications
Perspectives

1) Qual
2) Indu
3) Tech
4) Qual
5) Beha

We have to
industrial re
Industry 4.0
Term Indust
those machi
process and 
Industry 4.0 
system (CPS
(IIOT) etc. 

d Security S
mber 2020, pp
g/10.37868/ds

nsed under a Cre
apt the material 
nitial publication 

manage
view 

Rudalija1  
Engineering, Int

ding author:  be
hor  

y  

uction 
nagement is t
in our lives, 
is helpful, bu

nt in the ind
s in terms 
s etc. Some k
lity Managem

ustry 4.0.  
hnology. 
lity Culture. 
avioral Aspe
 know what

evolution. In
. Example ca
try 4.0 or ''fo
ines is a lot 
making deci
is using diff

S), the intern

Studies 
p.44-52 
ss.v1.id149 

eative Commons A
for any purpose
in this journal. 

ement re

ternational Univ

enjamin18rudal

Abstract 
With new 
helping co
that comp
operation, 
Industry 4
automated 
simple inst
will help c
own proce
manufactur
With digita
by 2020. In
which are p
would be s

Keywords:

topic that is 
and technolo
ut it can be d
dustry 4.0. G

of Econom
key terms are
ment.  

 
ects.  
t term Indus
dustrial area
an be smart c
ourth revolut
of sensors w
isions by its 
ferent manuf

net of things (

Attribution Licen
e (even commer

esearch t

versity of Saraj

lija@gmail.com

century we h
mpanies to c
anies will r
human facto
.0 is the Sm
procedures.

tallation and 
companies in
esses. In the 
ring.  
alization of 
n the same t
produced usi
shut down be

Industry 4.0

discussed in
ogy is in eve
dangerous. S
Goal of 4.0 

mics, Decisio
e: 

stry 4.0 mea
as which are
cities, or sma
tion'' has ma

which are co
own. So, a ty

facturing tech
(IoT), cloud 

nse (https://creativ
rcially), in any m

44 

trends in

evo, Bosnia an

m 

have new rev
create smarte
reduce costs
or is crucial 
mart factory 

 Also, it is 
d sometimes v
n the manufa

end, it will

major indus
time, it will 
ing outdated 
ecause of hig

0, Quality ma

n today’s con
ery aspect of
So, this probl

era is to fo
on Models, 

ans. Industry
e not conside
art cars.  
achines whic
nnected to t
ype of AI (A
hnologies an
computing, 

vecommons.org/l
medium with an 

n context

nd Herzegovina

volution whi
er products t
s and they 
for the appl
that makes 
leading to t
very high rat
acturing proc
l boost up th

tries, almost
stop really fa
technologie

gher costs and

anagement, I

ntemporary w
f our everyda
lem is taken 
ocus to unra

Business M

y 4.0 is a pa
ered as a rea

h are workin
he system w

Artificial Intel
nd processes. 
cognitive co

licenses/by/4.0/) t
acknowledgeme

t of Indu

ch is Industr
together with
will increas
ication. One
a solution. T

the uncompl
te of scalabil
cess and furt
heir efficien

t 5 million w
fast the mark
s. Because o
d inefficienc

Innovation 

world. Today
ay activity. S
to be part of
vel advance

Models, Hum

art, or better
al industry a

ng with wire
which tracks 
lligence).  
Some of the
mputing, ind

ISS
R

that allows others
ent of the work's

ustry 4.0

ry 4.0. That 
h services in
se efficienc

e of the bene
That is lead

licated setup
ility. All of t
rther optimiz
ncy from the

workplaces c
ket demand f
of that, such p
cy in the first

ay, we have t
Scientists are
f developme

ement of Qu
man and T

r to say sub
are considere

eless connect
every part o

em are cyber
dustrial intern

SN 2744-174
Review Article

s 
s 

: A 

industry is 
n such way 
y. In that 
efits of the 
ding to the 
 including 
his feature 

zation their 
e aspect of 

can be lost 
for product 
production 
t place. 

technologica
e telling even
ent in Quality
uality and it
Technologica

set of fourth
ed as part o

tion. Also, in
of production

r-physical 
net of things

1 
e 

al 
n 
y 
s 

al 

h 
f 

n 
n 

s 



 DSS Vol. 1, December 2020, pp.44-52 

45 

So, the concept of Quality Management is very young. That concept wasn't understood before 1980's. During 
the 80s and 90s, concept of Quality Management became famous.  
From different studies we can see that the suggest quality environment can be created in such way that 
everybody are inspired to have feeling that they are responsible for it. It is very important to have good 
Quality Cost. Poor Quality Cost can be cut through leadership emphasis, message credibility, peer 
involvement and employee empowerment.  
Poor Quality incurs companies 5% to 30% of their annual sales but companies with strong structured quality 
system spend 350 million dollars less than poorly structured quality systems.  
One of the objectives is to ascertain control limits of quality to address problems like inflexibility, 
customization, longer supply chains.  
One of the solutions is to include Statistical Quality Control Techniques, but better choice is to look for 
Innovative techniques. 

2. Short history of industry   
As the name is telling us, industry 4.0 is fourth type of industry in human history. But we can't talk about this 
industry if we don't know what happened before. Also, people can learn a lot of things based on industries 
before such as 1.0, 2.0 and 3.0. All those historical discoveries changed human kind forever, but time is going 
on. So is the industry. Pathways in industry 4.0 can be based on (some of them) the previous industries. 
 
Industry 1.0  
Importance of this industry was huge. At the end of the 18th century, steam engine is discovered. That 
discovery changed industry from the ground. With making steam engine, people started to use heavy 
machinery.  
 
Industry 2.0 
The second industry revolution is based on using the electricity. With this discovery it was possible to use a 
conveyor belt and assembly line.  
 
Industry 3.0  
In this industry, most important pathway was introduction of automatization of production processes using 
electrical energy and using information and communication technologies.  
 
Industry 4.0 
Finally, the evolution of cyber technologies and their integration into digital ecosystems along all values 
chains contributed to the emergence of the fourth industrial revolution called “Industry 4.0”. The first concept 
of industry 4.0 was presented at the Industrial Technology Fair in Hanover in 2011.  
Since then, many different companies started to developed solutions in line with the concept of Industry 4.0. 
Many governments also support the development of such solutions, especially European governments (with 
an emphasis on the German government), USA and Japanese government, confirming that this new industry is 
viewed as a strategy by major industries in the world.  
In general, the main purpose of Industry 4.0 is the emergence of digital manufacturing, also referred to as 
“smart factory”, which means smart networking, mobility, flexibility of industrial operations and their 
interoperability, integration with customers and suppliers, and the adoption of innovative business models. 

3. Stages of formation of Industry 4.0 and the key indicators of its development   
In this following text I’m going to provide the study of the main stages of formation related to industry 4.0. 
Also, main goal is to determine the key indicators of development. Important things are to analyze the process 
of formation of Industry 4.0 which is going to be described below. After reading the text you will be able to 
distinguish the main stages which are:  
    -  Formation of industry 4.0 as a sphere of industry.   
    -  Transition to Industry 4.0. 
    -  Preparation of the socio-economic system. 
 
As in every system, Industry 4.0 has some potential barriers on the path of formation at each of the stages and 
there must be offered recommendations for overcoming them. People developed and present the system of 



 DSS Vol. 1, December 2020, pp.44-52 

46 

indicators which are related to monitor the formation of Industry 4.0 which basically includes target values of 
indicators for moving to the next stage of Industry. We can conclude also that economic system of today’s 
world - modern economic system is in different stages of the process related to the formation of Industry 4.0. 
Today in the world we can see that some developed countries developed the transition of the second stage 
while other countries who are in transition time have just started the first stage of the process. So, talking 
about large scale of global economy system, Industry 4.0 should be conducted in long - term scale.  
Every day our global economy is developing and in certain moment we have different trends. The same 
situation is with Industry 4.0. People think that actual trend in the world is developing Industry 4.0 from 
aspect of the global economy, but that is not a case. This development is related to the future. As it is, that 
development can stimulate people to achieve strategic goals from which are based in core of the Industry. 
Landmark in modern global economy system is development of knowledge of economy. That landmark is 
provided from tool called Industry 4.0. Knowledge economy is recognized as the most important and optimal 
type in today’s economic system.  
Firstly, knowledge economy is very long and complex process. Even though people want to improve the 
system and other things, there is a lot of obstacles on that path. Many of them are low effectiveness of the 
existing tools (some of them are growth vectors). This problem is real and it comes from experience. So, in 
other to reduce risk component of the process and process information of the knowledge economy and in the 
same time to increase the effectiveness due to acceleration of the economy rate and economic development, 
Industry 4.0 allows that. Industry will diversify these tools in other to help in development.  
Second, Industry 4.0 can be viewed from the different angle. It can be viewed as a self-goal. In that manner, it 
will push the achievements of sustainable socio-economic development. What industry 4.0 provide is 
reduction of labor. Even the intellectual load on modern human will reduce. The things which have 
exponential growth is production and innovational development of economic system. So, this is one of the 
research pathways in the Industry 4.0. Different and better economic system. To achieve this, economic 
system must be increased by efficiency, also with reduction of resource intensity. The level of real income of 
population should also be increased.  
Due to this reasons, concept of Industry 4.0 is large in term for high scientific and practical significance. So, 
this can help us to explain studying of some potential problems that may occur, possibilities and perspectives 
of implementation in the economic practice of today's modern socio-economic systems. The main goal of this 
research paper is to determine and discuss the main stages in the Industry 4.0 and also to show us main key 
indicators of its development at each of them.  
Industry 4.0 (I4.0), even if very young in revolution, has several main pillars or categories which are very 
important in the future development of the revolution. Also, these main pillars will explain the research 
pathways inside this revolution. It should be mentioned that I4.0 is still in development; every day practically, 
so, some things we have but some things we don't have. So, we can say that we are still in revolution. 

4. The main pillars in Industry 4.0   
In the following text I'm going to describe some of the concepts of the I4.0. Those concepts are main bases of 
this industry and some of them are still in progress. Those are:  
1) Big Data and Analytics.  
2) Autonomous Robots. 
3) Simulation.  
4) Horizontal and vertical system Integration. 
5) The Industrial Internet of things (IoT).  
6) The cloud. 
7) Additive Manufacturing.  
8) Augmented Reality (AR). 
9) Cyber security. 

4.1. Big data and analytics 
Concept of big data sets is affecting the decision making inside the company using large, diverse and very 
complex datasets. This can affect the strategy of the company. For example, if company invest in this field, 
big data means big things. In other words, increasing in level of data will improve the company’s features like 
competition among other companies, it will increase productivity and most important - innovation. Big data 
are giving big projects to company because more opportunities are there. A lot of decision makers are giving 
big data projects to solve challenges in organizational levels.  



 DSS Vol. 1, December 2020, pp.44-52 

47 

The big data can be described in several ways:  
         - data as a tool,  
         - data as an industry,  
         - data as a strategy.  
 
Using framework of the Big data as a tool is described as solving traditional values or chain of values 
problems using existing capabilities.  
Using framework of big data as an industry is actually act of using new developed software for handling big 
data in the future. Last, using framework of big data as a strategy is actually making new data resources by 
development of new models in business which are innovative.  
Regarding the process of big data analytics is actually to analyze large number of datasets. Those datasets will 
give information about customers; mostly that information will be the trends and preferences. Datasets will 
also contain algorithms in case of some correlations. In sets of algorithms, those can be used also for 
prediction of reducing error probability [1] or big data analytics can be consisted of algorithms which are 
predictive - they can reduce harm before damage is done [2]. If big data can be manageable, and they can, 
then people will have advantages out of it. Mostly that is going to be competitive advantage to the firms which 
means they will have benefit in their own operations, customer experience, marketing also and etc.  
Generally, I4.0 is the era of technology. With more technological changes and shifts, more companies will 
manage mainstream business practices. They will start to increase infrastructure development. We can 
conclude that big data is pushing companies in more complex aspect of their business. In the today’s world, 
we can see increase in data that is processed and generated by machines. Big data concept takes the very big 
and important role in I4.0 [3]. 

4.2. Autonomous robots 
Another important aspect of the Industry 4.0 is autonomous production. This type of production is powered by 
concept called “Internet of Things” (IoT). The idea of this concepts is to have communication between 
different objects, computers, devices and machines by harnessing with each other. Regarding this concept, 
autonomous robots are the best example.  
Even if in the beginning using robots in industry looked very easy, it was not a case. Today, connecting robots 
to a central server, programmable logic controller or big database can be coordinated and more automated 
than ever before. Robots can complete tasks intelligently with minimal human input which is very important. 
Autonomous mobile robots (AMRs) can transport things inside the factory with avoiding obstacles, or 
coordinate with fleet mates, they can identify where pickups or drop-offs are needed in real time etc.  
We know that almost in all aspect of the industries robots are used and they will be used in all sorts of every 
industry and we can’t predict the moment of that change. Today we have the system “machine-to-machine” 
but Industry 4.0 is going beyond that scope. Some of the components of the facility which are not considered 
as “machines” can be connected together as well and they can be treated as “machines” like robots. 
Environment in which they are used is called digital ecosystem. With acceleration of Industry 4.0, the usage 
of the robots is also accelerating because industry requires more production, logistics, distribution and all of 
that can be controlled by human remotely. That remotely control is communication between human and robot. 
Also, during the evolution of the I4.0, some of the new robotics technologies are developed such as Kuka 
LBR IIWA which is doing sensitive tasks and collaborate with people too.   
Robot with this system is able to learn from humans and also to check, optimize and document different tasks 
by help of different cloud systems [4]. 

4.3. Simulation 
Simulation is very important in I4.0. It is playing an important role in production in such way that is 
promoting sustainable manufacturing environment in the company. Digital tools are heavily used in order to 
achieve certain design in the system of production. They have ability of self-configuration which means it can 
establish effective shop-floor management. Inside the competitive business, simulation can offer different 
adjustments to complex systems in such way that operations are planned. Also, simulation offers knowledge 
and information together with accurate estimations about certain system, which is achieved by using the 
engineering capacity [5]. Even the strategic plan can be done using the simulation models which can help to 
make dynamic plan for different production systems. In those plans, simulation will do processes in real-time 
which means simulation is acquired. Any system that is using simulation as a help tool can create real time 
optimization in every operation [6]. 



 DSS Vol. 1, December 2020, pp.44-52 

48 

4.4. Horizontal and vertical system integration 
There are two different systems inside the factory, Horizontal integration and Vertical integration. Vertical 
integration is flexible system which is inside the factory. Horizontal integration is related to integration of 
partners which is connected with the SCs. Network inside the industry is collecting Big Data with mission to 
optimize the system and system performance and also to send those data to the cloud. This connection is 
actually creating the framework of the smart factory. With this system, we are helping the manufacturing 
system to make self-organization structure and every physical object is connected with other by smart 
networks. In the other hand, cloud system can integrate multiple vertical partners into each other using the 
shared platforms which are created. All of the production and processes are tracked by members of SC [7]. 

4.5. The Industrial Internet of Things (IIoT) 
Internet of Things (IoT) is actually the next technical revolution in the I4.0. IoT is able to give solution for 
different computations or analytics. Those calculations are related to data which are stored in cloud systems. 
Main purpose of the IoT is connect the Internet by collecting all of the data from physical objects inside the 
factory. With data collecting, computers or other devices are able to make decision about certain operations 
[8]. With IoT, operations in the business are more agile and also, they are integrated in the same way as 
achieving competition on the basis of SC is. So, we can conclude that using the IoT will be crucial in the 
future. It will mostly help with agility and very effective decision making in the production and other 
processes [9]. 

4.6. The cloud 
Cloud computing or CC is bringing the different advantages in the ICT paradigm. Some of them are helping 
SCs to the automatization and integration but also there are advantages related to management and 
administration. That is the way of virtualizing the resource and it helps to combine the system based on client-
server. CC is including pools of many IT resources that offers storage in virtual system. Also, it offers 
processing capabilities in variety of virtual system by serving more than one user. Cloud computing has three 
different models; Saas - which stands for Software as a Service. In this computing system access depends on 
the purchase of the customer. Next computing is PaaS - which stands for Platform of the Service in which 
customers are allowed to have access to their application on the cloud (software developers mostly). Last 
subgroup is IaaS - which stands for Infrastructure as a Service. In this computing system, customers are 
offered some basic activities. One of them is storing capability. One of the best examples of Cloud system 
today is actually Google Drive provided by Google. Other examples are Windows Azur provided by 
Microsoft or BlueCloud created by IBM company [10]. 

4.7. Additive manufacturing 
This field of I4.0 called Additive manufacturing is also defined as 3D modelling or printing. 3D printing is 
used for producing goods with different requirements provided by customers. 3D printing is very popular 
today because it can save a lot of time by producing limited batches or limited edition of products which 
means that other machines will have less stock on their process of production. Many companies today are 
using 3D printing to reduce the weight of the airplanes. Other materials used in this industry are titanium and 
other metals. One of the leading companies who are investing in 3D printing technology are Apple, Google 
and Motorola. Main reason of that investment is to continuous smart phone production. In 3D printing, some 
processes as machining and milling are completed in stages; layer by layer. That means 3D printing is making 
a lot of products using less resources [11]. 

4.8. Augmented reality (AR) 
Augmented Reality (AR) is actually technology which is used for interaction that helps to establish harmony 
between virtual world and users. In the same time, that virtual world is used as part of the real surroundings. 
One of the examples of this technology are Google Glass - reality glasses. Other example is Magic Leap 
created in 2011. Magic Leap has ability to adjust to the human eye by converting light field angle and depth 
[12]. Technology like this is increasing the communication between human and the machine. Things like 
remoting control and visual inspection of the humans are provided virtually too using AR. If computer 
generated graphics and physical object are combined, it can be used in many different applications. AR is 
using sensors mostly in order to give users motion control on the certain tasks. 



 DSS Vol. 1, December 2020, pp.44-52 

49 

4.9. Cyber security   
One of the issues in the I4.0 is Cyber Security. With development of technology and together with 
implementation in our lives, Cyber Security can have very bad and destructive impact on the business, 
business environment, for example terrorist attacks. So, with development of the I4.0, people have to have 
some solutions or defense systems which are necessary. In this industry people can use some previous terrorist 
attacks and use that bad experience in order to protect people from future attacks. Even if costs of preventing 
the cyber war will cost the companies a lot of money, in the end, total cost is not to high if we take into 
account potential negative effects of the cyber war or attacks [13].  
 
Table 1 is representation of the summary of the concepts that explain the vision of the future in Industry 4.0. 
 

 
Table 1. Future of Industry 4.0. 

5. Six countries leading in the fourth industrial revolution 
Industry 4.0 is slowly taking place in the world.  Even if 21st century is era of technology, not all countries all 
capable to take I4.0 as a new friend. Only strongly developed country can take leader place in this industry. 
Today in the world we have 8 of them, those are:  

 Canada 
 Japan  
 Germany  
 Australia  
 Austria  
 Switzerland  
 USA 
 China  

 
I will shortly explain all of these examples. These 6 countries are taken from the research in 2019.  
 



 DSS Vol. 1, December 2020, pp.44-52 

50 

1) Canada  
Today, Canada is 1st country in innovation in technology. That innovative technology includes anything 
starting from blockchain to AI all the way to the complete digitalization. Government of Canada even trying 
to blockchain their own communication system. Even though Canada is taking very high place in 
implementation of Industry 4.0, they don’t stop to “research” this field. They have a lot of opportunities for 
investment and another innovation in the industry 4.0 and new business.  
In the list of WEF’s Drivers of Production, Canada ranks a reasonable 33rd place with the current structure of 
production in the country. Also, Canada is taking 7th place as a driver of production in the list. Some people 
predict that Canada can pioneer the state of production in world if they take that journey slowly with a lot of 
time and preparation.  
 
2) Japan  
Another leading country on the WEF's list is Japan. Japan has very strong structure of production today which 
is interesting even if Japan doesn't have so much natural resources. Among developed countries, Japan is very 
strong player, especially in manufacturing and production (cars, robots, dig. equipment). As we know, 
everything in the nature has balance. Same situation with Japan. Even if they are very good player for I4.0, 
they have another problem related to social challenge - increasing in ageing of population. But new Industry 
can provide good solution to Japan.  Solution is called “Society 5.0” which is actually trying to help and solve 
some problems created with implementation of Industry 4.0 technology. Society 5.0 is like older brother to 
Industry 4.0. Japan is building ideas which are based on idea of “monozuri”. That idea is related to work ethic 
in Japan and also skills in the manufacturing process.  
 
3) Germany  
Japan has its own list of leading countries in implementation of I4.0. On that list, first place is taken by 
Germany. Germany even has its own plan and strategy for Industry 4.0. Some of those strategies are (in first 
place) workers, promoting of digitalization, SMES, businesses and globality. Germany has variety of products 
like AI, blockchain, automation and IIoT and they are trying to bring aspect of I4.0 to those fields. They 
created “Platform Indsutrie 4.0”, which is moderator of societal and technological exchange. 
 
4) Australia  
Australia is not well positioned as one of the leading countries regarding the implementation of I4.0 (current 
rank is 61st place) but Australia has great potential. On the list “Driver of production “, Australia is taking 12th 
place. Australia’s GDP related to manufacturing sector is very low. It is less than 7% which is very low.  
Even if Australia has great potential, right now, manufacturing is on very low level. But some countries 
recognize that Australia can be very good, so they signed an agreement with Germany. That agreement is 
based on collaboration between those two countries in aspect of implementing the 4.0 technologies.  
  
5) Austria  
Austria is another country in the Europe that is very strong in production. They have very similar plan of 
production and implementation as Germany, with Platform Industry 4.0 established in 2014. One of the main 
reasons why Austria is so good is that they are “forcing” interplay between different industries. That strategy 
showed promising because results is joining the strategies together with scalability and transferability.   
Austria is setting mostly on sustainable resources and human capital and country if taking benefits from 
current state of production and I4.0, also from very good production future and implementation of I4.0. 
 
6) Switzerland  
Switzerland is the third country in the Europe with good implementation of Industry 4.0. This country has 
good position with current and especially future state of production. On the WEF’s list, position is 4th for 
structure and 3rd as a driver. Switzerland also hosts the headquarters of the forum called World Economic 
Forum which is held in Geneva. Together with the Germany, Switzerland was very good in resisting 
economic downturn owe the last years, which is not the situation with some other countries. This country is 
also pioneer in Industry 2025 which is planning to unite the companies together in I4.0. 
 
7) USA  
In year 2014, Industrial Internet Consortium (IIC) was founded. On that consortium, more than 100 
companies participated. One of them are IBM, Intel, General Electric, AT&T, Cisco… The purpose of the 



 DSS Vol. 1, December 2020, pp.44-52 

51 

meeting was to discuss and work on the technology of production in the future. Again, Germany took place 
here with participation of two companies - Siemens and Bosch. If you check the list, you will see that a lot of 
IT companies are included so the main focus there was talking about IoT together with the interconnection of 
future factories. The Industrial Internet Consortium (IIC) is almost the same as policy of Industry 4.0. The 
goal is to have more efficient production, some important processes should be optimized. Also, idea is to have 
higher availability for the machines. The last important topic was to have high level of individualized 
production in the production system.  
 
8) China  
According to China and their government, they are planning to build the new system of production. That 
system is based on the omnipresent information and communication system.  
They made plan called “Advanced Manufacturing Technology Roadmap”. That roadmap has each step written 
down until 2050. Also, plan includes milestones for 2020 and 2030. Main goal of China’s industry is to get 
less dependent on the products which are imported. Also, they plan to help different technologies which are 
related for the production. One of those production systems is automotive sector. “Advances Manufacturing 
Equipment” is another plan with the highest priority and it has strategy of five-year 

6. Conclusions 
With new century we have new revolution which is Industry 4.0. That industry is helping companies to create 
smarter products together with services in such way that companies will reduce costs and they will increase 
efficiency. In that operation, human factor is crucial for the application. One of the benefits of the Industry 4.0 
is the Smart factory that makes a solution. That is leading to the automated procedures. Also, it is leading to 
the uncomplicated setup including simple installation and sometimes very high rate of scalability. All of this 
feature will help companies in the manufacturing process and further optimization their own processes. In the 
end, it will boost up their efficiency from the aspect of manufacturing.  
With digitalization of major industries, almost 5 million workplaces can be lost by 2020. In the same time, it 
will stop really fast the market demand for product which are produced using outdated technologies. Because 
of that, such production would be shut down because of higher costs and inefficiency in the first place.  
 
At the end of the paper, I present an interesting quote: “The factory of the future will have two employees: a 
human and a dog. The task of the human will be to feed the dog. The dog will have the task to dissuade the 
human to touch the automated systems.” (Warren G. Bennis)  
 

References 
[1] W. Ji, L. Wang, “Big data analytics-based fault prediction for shop floor scheduling. Journal of 

Manufacturing Systems”, Vol. 43, pp. 187–194, 2017. 
[2] P. Seele, “Predictive Sustainability Control: A review assessing the potential to transfer big data driven 

“predictive policing” to corporate sustainability management”, Journal of Cleaner Production, Vol. 
153, pp. 673–686, 2017. 

[3] S. Yin, O. Kaynak, “Big Data for Modern Industry: Challenges and Trends [Point of View]”. 
Proceedings of the IEEE, Vol. 103(2), pp. 143–146, 2015. 

[4] M. Aiman et al., “Industry 4.0: A review on industrial automation and robotic”, Jurnal Teknologi 
(Sciences & Engineering), Vol. 78, pp. 137-143, 2016. 

[5] S. Weyer et al., “Future Modeling and Simulation of CPS-based Factories: An Example from the 
Automotive Industry”, IFAC-PapersOnLine, Vol. 49(31), pp. 97–102, 2016. 

[6] T. H. Uhlemann et al., “The Digital Twin: Realizing the Cyber-Physical Production System for 
Industry 4.0”. Procedia CIRP, Vol. 61, pp. 335–340, 2017. 

[7] S. Wang et al., “Towards smart factory for industry 4.0: A self-organized multi-agent system with big 
data based feedback and coordination”, Computer Networks, Vol. 101, pp. 158–168, 2016. 

[8] H. Rahman, R. Rahmani, “Enabling distributed intelligence assisted Future Internet of Things 
Controller (FITC)”, Applied Computing and Informatics, Vol. 14, Issue 1, pp. 73-87, 2018. 

[9] P. Akhtar et al., “The Internet of Things, dynamic data and information processing capabilities, and 
operational agility”, Technological Forecasting and Social Change, Vol. 136, pp. 307-316, 2017.  

[10] K. Candel Haug et al., “Cloud adaptiveness within industry sectors – Measurement and observations”, 
Telecommunications Policy, Vol. 40(4), pp.291–306, 2016.  



 DSS Vol. 1, December 2020, pp.44-52 

52 

[11] W. E. Frazier, “Metal Additive Manufacturing: A Review”, Journal of Materials Engineering and 
Performance, Vol. 23(6), pp. 1917–1928, 2014. 

[12] Z. He et al., “Research on Human-computer Interaction Technology of Wearable Devices Such as 
Augmented Reality Supporting Grid Work”, Procedia Computer Science, Vol. 107, pp. 170–175, 
2017. 

[13] H. S. Cho, T. H. Woo, “Cyber security in nuclear industry – Analytic study from the terror incident in 
nuclear power plants (NPPs)”, Annals of Nuclear Energy, Vol. 99, pp. 47–53, 2017. 

 
 
 


