• 论文 •    

大规模生产调度问题的研究现状与展望

金  锋,吴  澄   

  1. 清华大学 自动化系,北京  100084
  • 收稿日期:2004-11-08 修回日期:2005-01-17 出版日期:2006-02-15 发布日期:2006-02-25
  • 基金资助:
    国家973计划资助项目(2002CB312202);国家自然科学基金 资助项目(60574077)。

Research status and prospects for massive production scheduling

JIN Feng, WU Cheng   

  1. Dep. of Automation, Tsinghua Univ., Beijing  100084, China
  • Received:2004-11-08 Revised:2005-01-17 Online:2006-02-15 Published:2006-02-25
  • Supported by:
    Project supported by the National Key Basic R&D Program,China(No.2002CB312202)and the National Natural Science Foundation, China(No.60574077).

摘要: 为解决大多数已有调度算法无法直接应用于大规模生产调度的问题,以典型生产调 度问题为背景,综述了现阶段已有大规模生产调度问题的算法。分析了大规模生产调度问题 规模增长的因素,重点介绍了基于问题分解的各类方法、拉格朗日松弛/分解法及智能优化 算法。在此基础上,展望了大规模生产调度问题的研究发展趋势。

关键词: 大规模生产调度, 问题分解, 拉格朗日松弛/分解, 智能优化算法

Abstract: At present most scheduling algorithms cannot be directly applied in massive prod uction scheduling, based on the typical production scheduling problems, existing algorithms for massive production scheduling were summarized. The influencing f actors for scale increase in massive production scheduling problem were analyzed . Then some of the typical algorithms were introduced, such as algorithms based on problem decomposition, Lagrangian relaxation/decomposition and intelligent op timization algorithms. Finally, prospects for massive production scheduling algo rithm were presented.

Key words: massive production scheduling, problem decomposition, Lagrangi an relaxation/decomposition, intelligent optimization algorithms

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