• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (15): 40-56.doi: 10.3901/JME.2025.15.040

• 综述 • 上一篇    

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工业5.0环境下面向生产调度的人本融合技术

乔非1, 刘鹃1, 王冬源1, 丁晨1, 施嘉璇2, 王俊凯1, 马玉敏1   

  1. 1. 同济大学电子与信息工程学院 上海 201804;
    2. 同济大学上海自主智能无人系统科学中心 上海 201210
  • 收稿日期:2025-03-01 修回日期:2025-05-18 发布日期:2025-09-28
  • 作者简介:乔非(通信作者),女,1967年出生,博士,教授,博士研究生导师。主要研究方向为生产计划与调度、智能优化、可持续制造调度、智能制造、工业大数据等。E-mail:fqiao@tongji.edu.cn;刘鹃,女,1992年出生,博士,助理教授。主要研究方向为智能制造、生产调度、智能优化等。E-mail:juanliu0720@tongji.edu.cn;王冬源,男,1998年出生,博士研究生。主要研究方向为生产调度、人机混合智能等。E-mail:dywang@tongji.edu.cn;丁晨,男,1997年出生,博士研究生。主要研究方向为生产调度、数据与知识驱动的智能优化等。E-mail:chen_d@tongji.edu.cn;施嘉璇,女,1997年出生,博士研究生。主要研究方向为生产调度、协同决策等。E-mail:shijiaxuan@tongji.edu.cn;王俊凯,男,1989年出生,博士,助理教授。主要研究方向为可持续制造调度、设备健康管理等。E-mail:jkwang@tongji.edu.cn;马玉敏,女,1971年出生,博士,副研究员。主要研究方向为智能制造、调度优化等。E-mail:ymma@tongji.edu.cn
  • 基金资助:
    国家重点研发计划(2024YFB3312300); 国家自然科学基金(62133011,62373288,62273260,62403365,62203336)资助项目。

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

摘要: 工业5.0引领制造业向以人为本的智能制造(人本智造)变革,制造系统中不同岗位和角色的人展现出更多样化和更全面的操作、智能和社会属性。针对生产调度这一典型场景,在人-信息-物理生产系统(Human-cyber-physical production system, HCPPS)的语义下,定义感知层-认知层-决策层贯通的智造回路环,从环内操作人融合的适应性创新、环上决策人融合的智能化创新和环外社会人融合的可持续创新这三个角度,构建多层次人本融合框架;并分别提出面向操作人融合的适应性调度技术、面向决策人融合的人-机混合智能技术和面向社会人融合的可持续协同优化技术;最后,以飞机脉动总装线典型调度场景为案例,验证了所提技术的有效性,为实现工业5.0的人本智造提供理论和技术实践参考。

关键词: 工业5.0, 生产调度, 人本融合, 适应性, 人机混合智能, 可持续

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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