现代制造工程 ›› 2025, Vol. 542 ›› Issue (11): 146-161.doi: 10.16731/j.cnki.1671-3133.2025.11.019

• 综述 • 上一篇    

云制造环境下调度问题研究综述*

陈子翰1, 周丽蓉1, 李方义2, 王黎明2, 孔琳3, 纪雪4   

  1. 1 贵州财经大学大数据统计学院,贵阳 550000;
    2 山东大学高效洁净机械制造教育部重点实验室,济南 250000;
    3 山东科技大学机械电子工程学院,青岛 266590;
    4 山东建筑大学管理工程学院,济南 250000
  • 收稿日期:2024-10-08 出版日期:2025-11-18 发布日期:2025-11-27
  • 通讯作者: 周丽蓉,博士,副教授,主要研究方向为工业大数据、绿色制造与智能制造。E-mail:zhoulirong2012@qq.com
  • 作者简介:陈子翰,硕士研究生,主要研究方向为工业大数据、智能调度。E-mail:chenzihan2023@qq.com
  • 基金资助:
    *国家自然科学基金青年项目(52305529);山东省自然科学基金青年基金项目(ZR2021QE302);贵州省科技厅基础研究计划项目(黔科合基础-ZK[2023]一般029)

A review of scheduling research in cloud manufacturing

CHEN Zihan1, ZHOU Lirong1, LI Fangyi2, WANG Liming2, KONG Lin3, JI Xue4   

  1. 1 College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550000, China;
    2 Key Laboratory of High Efficiency and Clean Mechanical Manufacture Ministry of Education Shandong University, Jinan 250000, China;
    3 College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China;
    4 School of Management Engineering, Shandong Jianzhu University, Jinan 250000, China
  • Received:2024-10-08 Online:2025-11-18 Published:2025-11-27

摘要: 调度作为云制造系统的关键环节,对云制造服务结果具有显著影响。为了促进云制造调度问题研究的发展,对其研究现状展开综述。首先,概述了云制造系统的运作模式。其次,详细阐述了云制造调度的定义与内涵、特点与流程,并对其问题所涉及的建模方法和求解策略进行了介绍。在此基础上,分别从多元主体交互、多样目标权衡、多变场景应用和多阶段集成4个角度对云制造调度问题展开了论述与分析。随后,探讨了国内外云制造服务平台的发展现状以及云制造调度在新兴场景的应用。最后,对云制造调度问题所面临的主要挑战及对其未来的发展趋势进行了讨论与展望。

关键词: 云制造, 调度主体, 调度目标, 调度场景, 集成调度

Abstract: Scheduling, as a key aspect of cloud manufacturing systems, has a significant impact on the results of cloud manufacturing services. In order to promote the research on cloud manufacturing scheduling, the current state of its research was reviewed. Firstly, the operation mode of cloud manufacturing system was outlined. Secondly, the definition and connotation, characteristics and process of cloud manufacturing scheduling were elaborated in detail, and the modeling methods and solution strategies involved in its problems were explained. On this basis, the cloud manufacturing scheduling problem was discussed and analyzed from four perspectives, namely, multiple subject interactions, diverse goal trade-offs, variable scene applications, and multi-stage integration. Subsequently, the development status of cloud manufacturing service platforms at home and abroad was analyzed and the application of cloud manufacturing scheduling in emerging scenarios was discussed. Finally, the main challenges facing the cloud manufacturing scheduling problem as well as its future development trends were discussed and outlooked.

Key words: cloud manufacturing, scheduling subject, scheduling goal, scheduling scenario, integrated scheduling

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