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Volume 9 Issue 12
Dec.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(12): 2063-2070
J. Yang, X. X. Wang, and Y. D. Zhao, "Parallel Manufacturing for Industrial Metaverses: A New Paradigm in Smart Manufacturing, " IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp.2063-2070, Dec. 2022. doi: 10.1109/JAS.2022.106097
Citation: J. Yang, X. X. Wang, and Y. D. Zhao, "Parallel Manufacturing for Industrial Metaverses: A New Paradigm in Smart Manufacturing, " IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp.2063-2070, Dec. 2022. doi: 10.1109/JAS.2022.106097
shu

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

doi: 10.1109/JAS.2022.106097
  • 1.

    The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China

  • 2.

    Beijing SANBODY Technology Company, Ltd, Beijing 214000, China

  • 3.

    North Automatic Control Technology Institute, Taiyuan 030006, China

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    Abstract
  • 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.

     

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