工业工程 ›› 2024, Vol. 27 ›› Issue (1): 1-9.doi: 10.3969/j.issn.1007-7375.230254

• 综述 •    下一篇

面向智能制造的生产运作管理:挑战、科学问题、关键研究及部分新进展

江志斌1,2, 周利平2   

  1. 1. 上海交通大学 安泰经济与管理学院;
    2. 中美物流研究院,上海 200030
  • 收稿日期:2023-12-25 出版日期:2024-02-29 发布日期:2024-03-05
  • 作者简介:江志斌 (1958—),男,安徽省人,教授,博士,主要研究方向为生产与服务运作管理、服务型制造、供应链与物流管理。
  • 基金资助:
    国家自然科学基金重点资助项目 (71931007)

Production and Operation Management for Intelligent Manufacturing: Challenges, Scientific Issues, Key Research, and Latest Development

JIANG Zhibin1,2, ZHOU Liping2   

  1. 1. Antai College of Economics & Management;
    2. Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
  • Received:2023-12-25 Online:2024-02-29 Published:2024-03-05

摘要: 简要介绍智能制造的互联、集成、服务、定制、时变等管理特征;分析了这些特征对生产运作管理提出的挑战,包括面向数字供应网络的多维度集成、柔性与网络化的生产、自组织优化配置制造资源、去中心化的自主决策与协同控制、学习型运作管理、强大的自优化与适应能力、前瞻性决策等。从价值创造机理、资源组织与重构机理以及生产计划调度体系3个方面提炼亟待解决的科学问题;进一步从融合机理、资源重构方法、生产计划与调度方法以及物流运行管理方法提出关键研究内容。最后介绍了若干智能制造生产运作管理研究新进展,为生产管理研究和实践提供新思路。

关键词: 智能制造, 生产运作管理, 挑战, 科学问题, 关键研究

Abstract: This paper briefly introduces management characteristics of interconnection, integration, services, customization, and time-varying in intelligent manufacturing. The challenges these characteristics pose to production and operation management is analyzed, including multi-dimensional integration for digital supply networks, flexible and networked production, self-organizing optimization of manufacturing resources, decentralized autonomous decision-making and collaborative control, learning operation management, powerful self optimization and adaptability, forward-looking decision-making, etc. Subsequently, three aspects are identified as scientific issues that need to be addressed: value creation mechanism, resource organization and reconfiguration mechanism, and production planning and scheduling systems. Additionally, four key research directions are proposed: integration mechanism, resource reconfiguration methods, production planning and scheduling methods, and logistics operation and management methods. Finally, this paper highlights latest development in intelligent manufacturing production and operation management, providing new ideas for production management theories and practice.

Key words: intelligent manufacturing, production and operation management, challenges, scientific issues, key research directions

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