工业工程 ›› 2020, Vol. 23 ›› Issue (4): 174-182.doi: 10.3969/j.issn.1007-7375.2020.04.023

• 实践与应用 • 上一篇    

装配作业车间分批调度问题的算法对比

曾垂飞, 刘建军, 陈庆新, 毛宁   

  1. 广东省计算机集成制造重点实验室 广东工业大学,广东 广州 510006
  • 收稿日期:2019-03-11 发布日期:2020-08-21
  • 通讯作者: 刘建军(1982-),男,江西省人,副教授,主要研究方向为工业工程、生产计划与控制等. E-mail:jianjun.liu@gdut.edu.cn E-mail:jianjun.liu@gdut.edu.cn
  • 作者简介:曾垂飞(1991-),男,湖南省人,硕士研究生,主要研究方向为生产计划与控制等
  • 基金资助:
    国家自然科学基金资助项目(51975129,71572049,61973089);广东省特支计划科技创新青年拔尖人才资助项目(2016TQ03X364);广东省自然科学基金资助项目(2019A1515012158);广州市珠江科技新星项目(201710010004)

A Comparative Study of the Algorithm of Assembly Job Shop Lot Streaming Scheduling

ZENG Chuifei, LIU Jianjun, CHEN Qingxin, MAO Ning   

  1. Guangdong CIM Provincial Key Laboratory, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2019-03-11 Published:2020-08-21

摘要: 建立最小化makespan的装配作业车间分批调度模型,利用遗传算法构建基于整体集成优化策略、分层迭代优化策略和双层进化策略的求解算法。它们的区别在于处理批量划分问题和子批调度问题的联合优化机制不同。最后通过仿真实验对比了几类算法的求解效果和收敛速度,并分析了它们的适应性特点。

关键词: 装配作业车间, 分批调度, 遗传算法, 仿真技术

Abstract: A batch scheduling model of assembly job shop with minimum makespan is established. The genetic algorithm is used to construct a solution algorithm based on the overall optimization strategy, hierarchical iterative optimization strategy and bilevel evolution strategy. The difference between them is the optimization mechanisms to deal with the batch division problem and the sub-batch scheduling problem. Finally, through the simulation experiment, the solution effect and convergence speed of several kinds of algorithms are compared, and adaptability are also analyzed.

Key words: assembly job shop, lot streaming scheduling, genetic algorithm, simulation technology

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