Generative AI Empowering Parallel Manufacturing: Building a "6S" Collaborative Production Ecology for Manufacturing 5.0

doi:10.1109/TSMC.2024.3349555

CASIA OpenIR > 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

	Generative AI Empowering Parallel Manufacturing: Building a "6S" Collaborative Production Ecology for Manufacturing 5.0
	Yang, Jing 1,2; Wang, Yutong1,2 ; Wang, Xingxia 1,2; Wang, Xiaoxing 3; Wang, Xiao4,5 ; Wang, Fei-Yue2,6,7,8
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2024-01-30
页码	15
通讯作者	Wang, Yutong(yutong.wang@ia.ac.cn)
摘要	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.
关键词	Blockchain collaborative manufacturing DAO foundation models industry 5.0 manufacturing 5.0 parallel intelligence parallel manufacturing privacy-preserving
DOI	10.1109/TSMC.2024.3349555
关键词[WOS]	INTELLIGENCE ; METAVERSES ; SCENARIOS ; FRAMEWORK ; SECURITY ; MANAGEMENT ; BLOCKCHAIN ; CHATGPT ; SYSTEMS ; ROBOTS
收录类别	SCI
语种	英语
资助项目	ZhejiangLab Open Research Project
项目资助者	ZhejiangLab Open Research Project
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:001167591500001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/57767
专题	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
通讯作者	Wang, Yutong
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Beijing SANBODY Technol Co Ltd, Beijing 214000, Peoples R China 4.Anhui Univ, Sch Artificial Intelligence, Hefei 266114, Peoples R China 5.Qingdao Acad Intelligent Ind, Qingdao 230031, Peoples R China 6.Macau Univ Sci & Technol, Macau 999078, Peoples R China 7.Chinese Acad Sci, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100098, Peoples R China 8.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yang, Jing,Wang, Yutong,Wang, Xingxia,et al. Generative AI Empowering Parallel Manufacturing: Building a "6S" Collaborative Production Ecology for Manufacturing 5.0[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2024:15.
APA	Yang, Jing,Wang, Yutong,Wang, Xingxia,Wang, Xiaoxing,Wang, Xiao,&Wang, Fei-Yue.(2024).Generative AI Empowering Parallel Manufacturing: Building a "6S" Collaborative Production Ecology for Manufacturing 5.0.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,15.
MLA	Yang, Jing,et al."Generative AI Empowering Parallel Manufacturing: Building a "6S" Collaborative Production Ecology for Manufacturing 5.0".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2024):15.