The human-centric Industry 5.0 collaboration architecture

被引:12
|
作者
Toth, Attila [1 ]
Nagy, Laszlo [2 ]
Kennedy, Roderick [3 ]
Bohus, Belej [1 ]
Abonyi, Janos [2 ]
Ruppert, Tamas [2 ]
机构
[1] Novitech, New informat technol, Moyzesova 58, Kosice, Slovakia
[2] Univ Pannonia, ELKH, PE Complex Syst Monitoring Res Grp, Dept Proc Engn, Egyet U,POB 158, H-8200 Veszprem, Hungary
[3] Simul Software Ltd, Studio N, Balt Creat Digital House,44 Simpson St, Liverpool L1 0AX, England
关键词
Collaboration; Industry; 5.0; Artificial intelligence; Manufacturing; 4.0; Human-centric; Ontology; Knowledge graph;
D O I
10.1016/j.mex.2023.102260
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
While the primary focus of Industry 4.0 revolves around extensive digitalization, Industry 5.0, on the other hand, seeks to integrate innovative technologies with human actors, signifying an approach that is more value-driven than technology-centric. The key objectives of the Industry 5.0 paradigm, which were not central to Industry 4.0, underscore that production should not only be digitalized but also resilient, sustainable, and human-centric. This paper is focusing on the human-centric pillar of Industry 5.0. The proposed methodology addresses the need for a human-AI collaborative process design and innovation approach to support the development and deployment of advanced AI-driven co-creation and collaboration tools. The method aims to solve the problem of integrating various innovative agents (human, AI, IoT, robot) in a plant-level collaboration process through a generic semantic definition, utilizing a time event-driven process. It also encourages the development of AI techniques for human-in-the-loop optimization, incorporating cross-checking with alternative feedback loop models. Benefits of this methodology include the Industry 5.0 collaboration architecture (I5arc), which provides new adaptable, generic frame-works, concepts, and methodologies for modern knowledge creation and sharing to enhance plant collaboration processes. center dot The I5arc aims to investigate and establish a truly integrated human-AI collaboration model, equipped with methods and tools for human-AI driven co-creation. center dot Provide a framework for the co-execution of processes and activities, with humans remaining empowered and in control. center dot The framework primarily targets human-AI collaboration processes and activities in industrial plants, with potential applicability to other societal contexts. Subject area: Computer Science More specific subject area: Application of Artificial Intelligence in a human-centric, modern industry environment Name of your method: I5arc -Industry 5.0 collaboration architecture Name and reference of original method: Industry 5.0 : 1. Maddikunta, P.K.R., Pham, Q.V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T.R., ... & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257. 2. ozdemir, V., & Hekim, N. (2018). Birth of industry 5.0: Making sense of big data with artificial intelligence, "the internet of things " and next-generation technology policy. Omics: a journal of integrative biology , 22 (1), 65-76. Support the design of human work : 3. Fantini, P., Pinzone, M., & Taisch, M. (2020). Placing the operator at the centre of Industry 4.0 design: Modelling and assessing human activities within cyber-physical systems. Computers & Industrial Engineering , 139 , 105058. Human-AI collaboration : 4. Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., & Horvitz, E. (2019, May). Guidelines for human-AI interaction. In Proceedings of the 2019 chi conference on human factors in computing systems (pp. 1-13). 5. Wang, D., Churchill, E., Maes, P., Fan, X., Shneiderman, B., Shi, Y., & Wang, Q. (2020, April). From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people. In Extended abstracts of the 2020 CHI conference on human factors in computing systems (pp. 1-6). Resource availability: Ontology-based analysis of manufacturing processes: https://github.com/abonyilab/wire _ harness _ assembly
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页数:8
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