A Review on Key Technologies of Industry 4.0 in Manufacturing Sectors

Author(s):  
Rakesh Chaudhari ◽  
Vrund Shah ◽  
Sakshum Khanna ◽  
Kumar Abhishek ◽  
Jay Vora
2021 ◽  
Vol 113 (7-8) ◽  
pp. 2395-2412
Author(s):  
Baudouin Dafflon ◽  
Nejib Moalla ◽  
Yacine Ouzrout

AbstractThis work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches, and used techniques in this domain. Different published studies on CPS for manufacturing in Industry 4.0 paradigms through 2010 to 2019 were searched and summarized. We, then, analyzed the studies at a different granularity level inspecting the title, abstract, and full text to include in the prospective study list. Out of 626 primarily extracted relevant articles, we scrutinized 78 articles as the prospective studies on CPS for manufacturing in Industry 4.0. First, we analyzed the articles’ context to identify the major components along with their associated fine-grained constituents of Industry 4.0. Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0. Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC, CC-PC, and HC-PC interfaces need to be standardized to achieve the success of Industry 4.0.


Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.


2021 ◽  
Author(s):  
Shyam Manikanawar ◽  
Vinayak N. Kulkarni ◽  
V. N. Gaitonde ◽  
G. Jangali Satish ◽  
B. B. Kotturshettar

Author(s):  
Ravinder Kumar

A formal industrialization commenced with steam power generation and the application of machines that mechanized the industrial work in past. Subsequently, the development in electric power, the assembly lines, and mass manufacturing led toward the third era of numeric control and automation. Now in modern era of industry 4.0, robots connected with the computers and machines. Tools are working on machines learning algorithms and running the cyber physical manufacturing systems. Sensing the need of hour, Indian manufacturing organizations are working hard to implement the practices of Industry 4.0. Working on identical direction, the author has identified 12 enablers poignant the espousal of Industry 4.0 in Indian manufacturing sectors from literature review and by opinion of experts. Further, the author has used Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for developing the structural and circumstantial kinship among the enablers of Industry 4.0.


Author(s):  
Kadir Alpaslan Demir ◽  
Buğra Turan

The introduction of Industry 4.0 has increased the focus on a number of technologies. These technologies also help realize the vision for intelligent cities. Furthermore, there are already discussions of Industry 5.0. One emerging aspect of Industry 5.0 is human-robot co-working. With the help of artificial intelligence, the internet of things paradigm, Industry 4.0, and Industry 5.0 visions, there will be two predominant types of systems interfacing with people in intelligent cities. These are robotic and ambient intelligence systems. The increasing deployment of these will help make cities even smarter. However, we need to see advancements in a number of relevant key technologies, including power and networking technologies. In this chapter, first, the authors briefly discuss Industry 4.0, Industry 5.0, and intelligent cities paradigm, as well as robotic and ambient intelligence systems. Then, they focus on developing trends in power and networking technologies.


Author(s):  
Banu Çalış Uslu ◽  
Seniye Ümit Oktay Fırat

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful information, to use the understood knowledge to make rapid decisions needs to have a network composed of smart devices. Internet of things (IoT) is a novel approach, where these smart devices can communicate with each other by using key technologies of artificial intelligence (AI) in order to make timely autonomous decisions. This emerging technical advancement and realization of horizontal and vertical integration caused the fourth stage of industrialization (Industry 4.0). The objective of this chapter is to give detailed information on both IoT based on key AI technologies and Industry 4.0. It is expected to shed light on new work to be done by providing explanations about the new areas that will emerge with this new technology.


Author(s):  
Sagil James ◽  
Anupam Shetty

Abstract The fourth industrial revolution, also known as Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Industry 4.0 synchronizes concepts such as Smart Manufacturing, Smart Factory, and the Internet of Things with existing factory automation technologies in order to improve value in manufacturing by monitoring key performance indicators and creates value in all manufacturing related aspects. Currently, several industries have started early initiatives of implementing these technologies. As the industries are evaluating their readiness for implementing the Industry 4.0 concepts, there are several challenges which need to be addressed including high initial investment, lack of standardization, data security and lack of skilled labor. A strategic roadmap towards implementing the Industry 4.0 paradigms is still unclear in the industry as well as in academia. This research develops an initial framework for the effective implementation of Industry 4.0 in the high technology manufacturing sectors in the Southern California region. The results of this study are expected to provide a platform to expand the opportunities of Industry 4.0 further and facilitate worldwide adoption.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 17969-17974 ◽  
Author(s):  
Jiafu Wan ◽  
Min Xia ◽  
Jun Hong ◽  
Zhibo Pang ◽  
Bharat Jayaraman ◽  
...  

Author(s):  
Ravinder Kumar

A formal industrialization commenced with steam power generation and the application of machines that mechanized the industrial work in past. Subsequently, the development in electric power, the assembly lines, and mass manufacturing led toward the third era of numeric control and automation. Now in modern era of industry 4.0, robots connected with the computers and machines. Tools are working on machines learning algorithms and running the cyber physical manufacturing systems. Sensing the need of hour, Indian manufacturing organizations are working hard to implement the practices of Industry 4.0. Working on identical direction, the author has identified 12 enablers poignant the espousal of Industry 4.0 in Indian manufacturing sectors from literature review and by opinion of experts. Further, the author has used Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for developing the structural and circumstantial kinship among the enablers of Industry 4.0.


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