Generative AI Empowering Parallel Manufacturing: Building a "6S" Collaborative Production Ecology for Manufacturing 5.0
文献类型：期刊论文
| 作者 | Yang, Jing1,2; Wang, Yutong1,2 ; Wang, Xingxia1,2; Wang, Xiaoxing3; Wang, Xiao4,5; Wang, Fei-Yue2,6,7,8
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| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
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| 出版日期 | 2024-01-30 |
| 页码 | 15 |
| 关键词 | Blockchain collaborative manufacturing DAO foundation models industry 5.0 manufacturing 5.0 parallel intelligence parallel manufacturing privacy-preserving |
| ISSN号 | 2168-2216 |
| DOI | 10.1109/TSMC.2024.3349555 |
| 通讯作者 | Wang, Yutong(yutong.wang@ia.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | INTELLIGENCE ; METAVERSES ; SCENARIOS ; FRAMEWORK ; SECURITY ; MANAGEMENT ; BLOCKCHAIN ; CHATGPT ; SYSTEMS ; ROBOTS |
| 资助项目 | ZhejiangLab Open Research Project |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001167591500001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | ZhejiangLab Open Research Project |
| 源URL | [http://ir.ia.ac.cn/handle/173211/57766]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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