Parallel Manufacturing for Industrial Metaverses: A New Paradigm in Smart Manufacturing

【Author】 Yang, Jing; Wang, Xiaoxing; Zhao, Yandong

【Source】IEEE-CAA JOURNAL OF AUTOMATICA SINICA

【影响因子】7.847

【Abstract】Briefing: To tackle the complexity of human and social factors in manufacturing systems, parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart manufacturing for effective and efficient operations of those systems, where Cyber-Physical-Social Systems (CPSSs) and the Internet of Minds (IoM) are regarded as its infrastructures and the "Artificial systems ", "Computational experiments " and "Parallel execution " (ACP) method is its methodological foundation for parallel evolution, closed-loop feedback, and collaborative optimization. In parallel manufacturing, social demands are analyzed and extracted from social intelligence for product R & D and production planning, and digital workers and robotic workers perform the majority of the physical and mental work instead of human workers, contributing to the realization of low-cost, high-efficiency and zero-inventory manufacturing. A variety of advanced technologies such as Knowledge Automation (KA), blockchain, crowdsourcing and Decentralized Autonomous Organizations (DAOs) provide powerful support for the construction of parallel manufacturing, which holds the promise of breaking the constraints of resource and capacity, and the limitations of time and space. Finally, the effectiveness of parallel manufacturing is verified by taking the workflow of customized shoes as a case, especially the unmanned production line named FlexVega. [Yang, Jing] Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China; [Yang, Jing] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China; [Wang, Xiaoxing] Beijing SANBODY Technol Co Ltd, Beijing 214000, Peoples R China; [Zhao, Yandong] North Automat Control Technol Inst, Taiyuan 030006, Peoples R China Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS Zhao, YD (通讯作者)，North Automat Control Technol Inst, Taiyuan 030006, Peoples R China. yangjing2020@ia.ac.cn; easymax3d@163.com; 15655168563@126.com National Key R&D Program of China [2018AAA0101502]; Science and Technology Project of SGCC (State Grid Corporation of China): Fundamental Theory of Human-in-the-Loop Hybrid-Augmented Intelligence for Power Grid Dispatch and Control National Key R&D Program of China; Science and Technology Project of SGCC (State Grid Corporation of China): Fundamental Theory of Human-in-the-Loop Hybrid-Augmented Intelligence for Power Grid Dispatch and Control We would like to thank Prof. Fei-Yue Wang for his valuable suggestions that have greatly improved this paper. 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Automatica Sin. DEC 2022 9 12 2063 2070 10.1109/JAS.2022.106097 http://dx.doi.org/10.1109/JAS.2022.106097 8 Automation & Control Systems Science Citation Index Expanded (SCI-EXPANDED) Automation & Control Systems 6V3RN Bronze 2023-01-05 WOS:000894969600005

【Keywords】Parallel Manufacturing; Digital Workers; CPSS; Smart Manufacturing; Industrial Metaverses

【发表时间】2022 DEC

【收录时间】2023-01-04

【文献类型】理论模型

【主题类别】

区块链应用-虚拟经济-元宇宙