Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing
Jing Yang1,2; Yutong Wang1; Xingxia Wang1,2; Xiaoxing Wang3; Xiao Wang4; Fei-Yue Wang5,6,7,8
Source PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
2024-01
Pages1-15
Abstract

Since Manufacturing 4.0 faces various challenges, including the risks of data leakage and privacy violation, the struggle to meet the growing demand for personalization, and the limitations in harnessing human creativity, it has become crucial to embark on a transformation toward Manufacturing 5.0. To this end, we propose a DeFACT framework for parallel manufacturing and Manufacturing 5.0, which focuses on safe, efficient and personalized collaborative production. In DeFACT, different enterprises and parallel workers (i.e., digital, robotic and biological workers) are organized, coordinated and scheduled based on decentralized autonomous organizations and operations to promote mutual benefits among members, even in the context of low or zero trust. This contributes to providing customers with higher-quality personalized products and services while ensuring the confidentiality and safeguarding of data. Additionally, various advanced technologies, such as generative artificial intelligence, scenarios engineering, and blockchain, are leveraged to achieve trustworthy and adaptable decision making, user-friendly human–machine interaction, and the federated control and management of parallel workers. Finally, the effectiveness and efficiency of DeFACT are experimentally validated through the design and implementation of three case studies.

Sub direction classification人工智能+制造
planning direction of the national heavy laboratory社会信息感知与理解
Paper associated data
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57289
Collection多模态人工智能系统全国重点实验室_平行智能技术与系统团队
Corresponding AuthorYutong Wang
Affiliation1.the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
2.the School of Artificial Intelligence, University of Chinese Academy of Sciences
3.Beijing SANBODY Technology Company Ltd.
4.the School of Artificial Intelligence, Anhui University
5.the Macau University of Science and Technology
6.Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences
7.the School of Artificial Intelligence, University of Chinese Academy of Sciences
8.the State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jing Yang,Yutong Wang,Xingxia Wang,等. Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2024:1-15.
APA Jing Yang,Yutong Wang,Xingxia Wang,Xiaoxing Wang,Xiao Wang,&Fei-Yue Wang.(2024).Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing.IEEE Transactions on Systems, Man, and Cybernetics: Systems,1-15.
MLA Jing Yang,et al."Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing".IEEE Transactions on Systems, Man, and Cybernetics: Systems (2024):1-15.
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