Approaches for Cognitive Assistance in Industry 4.0 Assembly

Author(s):  
Thomas Schack ◽  
Benjamin Strenge ◽  
Kai Essig
2021 ◽  
pp. 81-92
Author(s):  
Norbert Gronau ◽  
◽  
Gergana Vladova ◽  

Industry 4.0 and Smart Factory are associated with major changes in the industrial world. The innovative forms of networking, communication and collaboration between people, machines and products have led to a new type of production system in which information and knowledge are exchanged more quickly and efficiently. As a result, among other things, the role of cognitive assistance systems and their supporting function for employees within production processes has gained in importance, both in the training phase and in the active work phase. Especially for on-the-job learning, these assistance systems open up a wide range of opportunities. This paper focuses on the opportunities and challenges associated with the use of cognitive assistance systems for workplace learning. We discuss current research on the potential uses of these assistance systems, particularly for process accomplishment as well as for supporting specific groups of employees. Furthermore, we address the limitations for the use of these systems. At the end of the paper, we identify three focus areas for the future development of AI in industrial processes and for research on this.


2017 ◽  
Vol 47 (187) ◽  
pp. 213-228
Author(s):  
Gaus Jobst ◽  
Knop Christopher ◽  
Wandjo David

Through the ongoing debate different positions support the hypothesis that Industry 4.0 evokes decentralization in everyday works. In this article we argue that the technological premises of Industry 4.0 lead to the contrary: centralized planning ensuing from optimized adaptation to the imperatives of the market. We exemplify this pattern, that we named ‘determinated procedure’, through exemplary cases from different industrial branches. Furthermore, we argue that (indeed) existing decentral moments neither amount to structural decentralization nor to humanizing and empowering concessions to employees, but rather primarily serve to their integration into the enterprise and mobilization of their production intelligence.


2018 ◽  
Vol 9 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Silva Leandro Monteiro ◽  
◽  
Viagi Arcione Ferreira ◽  
Giacaglia Giorgio Eugenio Oscare ◽  
◽  
...  
Keyword(s):  

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.


2018 ◽  
Vol 0 (0) ◽  
pp. 0 ◽  
Author(s):  
Marcel JOLY ◽  
Darci ODLOAK ◽  
MarioY. MIYAKE ◽  
Brenno C. MENEZES ◽  
Jeffrey D. KELLY

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