• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (15): 40-56.doi: 10.3901/JME.2025.15.040

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Human-centric Integration Technology for Production Scheduling in Industry 5.0

QIAO Fei1, LIU Juan1, WANG Dongyuan1, DING Chen1, SHI Jiaxuan2, WANG Juankai1, MA Yumin1   

  1. 1. College of Electronic and Information Engineering, Tongji University, Shanghai 201804;
    2. Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 201210
  • Received:2025-03-01 Revised:2025-05-18 Published:2025-09-28

Abstract: Industry 5.0 leads the manufacturing industry to transform towards human-centric intelligent manufacturing. People in different positions and roles in the manufacturing system exhibit more diverse and comprehensive operational, intelligent, and social attributes. Focusing on the typical production scheduling scenario under the human-cyber-physical production system(HCPPS) semantics, an intelligent manufacturing loop is defined that integrates the perception, cognitive, and decision layer. From the three perspectives of adaptive innovation in the integration of operators within the loop, intelligent innovation in the integration of decision-makers on the loop, and sustainable innovation in the integration of social people outside the loop, a multi-level human-centric integration framework is constructed. And it respectively proposes adaptive scheduling technology for the integration of operators, human-machine hybrid intelligent technology for the integration of decision-makers, and sustainable collaborative optimization technology for the integration of social people. Finally, taking the typical scheduling scenario of the aircraft pulsating final assembly line as a case, the effectiveness of the proposed technologies is verified, providing theoretical and technical practical references for the manufacturing industry to achieve human-centric intelligent manufacturing.

Key words: Industry 5.0, production scheduling, human-centric integration, adaptiveness, human-machine hybrid intelligence, sustainability

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