运筹与管理 ›› 2019, Vol. 28 ›› Issue (7): 192-199.DOI: 10.12005/orms.2019.0167

• 管理科学 • 上一篇    

具有学习-遗忘效应的半导体批调度问题研究

叶春明, 侯丰龙, 赵静   

  1. 上海理工大学 管理学院,上海 200093
  • 收稿日期:2016-10-07 出版日期:2019-07-25
  • 作者简介:叶春明(1964-),男,安徽宣城人,教授,博士生导师,研究方向:工业工程、行为运作管理等;侯丰龙(1989-),男,河南新乡人,硕士研究生,研究方向:生产调度,智能算法;赵静(1990-),女,硕士研究生,研究方向:生产调度、智能算法。
  • 基金资助:
    国家自然科学基金资助项目(71840003);上海理工大学科技发展资助项目(2018KJFZ043)

Research on Semiconductor Batching Scheduling Problemswith Learning and Forgetting Effects

YE Chun-ming, HOU Feng-long, ZHAO Jing   

  1. School of Business, University of Shanghai for Science & Technology, Shanghai 200093, China
  • Received:2016-10-07 Online:2019-07-25

摘要: 半导体生产制造系统具有大规模、工艺繁杂、随机性大、可重入等显著特点。以半导体最终测试阶段批处理调度为基础,把学习-遗忘效应应用到典型半导体批调度问题中,构建基于学习-遗忘效应的批调度模型。分别结合调度问题和调度模型对双层算法(粒子群算法&萤火虫算法)进行设计,通过仿真实验检验了双层算法在求解具有学习遗忘效应的批调度模型方面的可行性和有效性,并对比分析以最大完工时间为优化目标的实验结果,探讨学习遗忘效应对半导体批调度问题的影响程度,对实际半导体生产具有重要指导意义。

关键词: 半导体批调度, 学习效应, 遗忘效应, 调度模型, 双层算法

Abstract: Semiconductor manufacturing system has significant characteristics such as large scale, multifarious craft, randomness and reentrant. Based on the processing batch scheduling, which is the final testing phase of semiconductors, we apply the learning and forgetting effects to the semiconductor scheduling which is the typical batch scheduling problem, and build a batch scheduling model with the learning and forgetting effects. Combining with the scheduling problem and scheduling model respectively, we propose a two-level algorithm(particle swarm optimization algorithm & firefly algorithm), and through the simulation experiments we verify the feasibility and effectiveness of the two-level algorithm in solving the model of the batch scheduling with the learning and forgetting effects. And we discuss the influence of the learning and forgetting effects on semiconductor batch scheduling comparing with the results of the optimal makespan in the experiment, which is of important guiding significance for actual semiconductor production.

Key words: semiconductor batch scheduling, learning effect, forgetting effects, scheduling model, two-level algorithm

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