系统仿真学报 ›› 2020, Vol. 32 ›› Issue (11): 2129-2137.doi: 10.16182/j.issn1004731x.joss.20-FZ0401

• 仿真建模理论与方法 • 上一篇    下一篇

基于动态交互层的柔性作业车间动态调度问题研究

张祥, 王艳, 纪志成   

  1. 江南大学物联网技术应用教育部工程研究中心,江苏无锡 214122
  • 收稿日期:2020-06-23 修回日期:2020-07-15 出版日期:2020-11-18 发布日期:2020-11-17
  • 作者简介:张祥(1996-),男,安徽滁州,硕士生,研究方向为智能动态;王艳(1978-),女,江苏无锡,博士,教授,长江学者,研究方向为制造系统能效优化。
  • 基金资助:
    国家自然科学基金(61973138),国家重点研发计划(2018YFB1701903)

Research on Dynamic Flexible Job Shop Scheduling Problem Based on Dynamic Interaction Layer

Zhang Xiang, Wang Yan, Ji Zhicheng   

  1. Engineering Research Center of Internet of Things Technology Applications Ministry of Education,Wuxi 214122,China
  • Received:2020-06-23 Revised:2020-07-15 Online:2020-11-18 Published:2020-11-17

摘要: 为快速应对柔性作业车间生产过程中出现的突发状况,构建了一种以全局任务最大生产完成时间以及紧急订单生产完成时间为优化目标的柔性作业车间动态调度模型。针对上述模型,提出一种更加适用于动态排产的动态交互层DIL (Dynamic Interaction Layer)来代替滚动窗口。设计了粒子群遗传混合算法PSGA (Particle Swarm Genetic hybrid Algorithm),将粒子群算法中位置更新策略与遗传算法基因突变融合,加强算法局部搜索能力针对柔性作业车间订单加急的意外状况,采用DIL与PSGA相结合的方法求解动态调度问题。通过仿真实验,验证了DIL处理紧急订单的能力和PSGA算法的有效性。

关键词: 柔性作业车间, 粒子群遗传算法, 动态交互层, 动态排产

Abstract: In order to quickly response to the unforeseen circumstances in flexible job shop, a dynamic flexible job shop scheduling model is constructed, which takes the overall production time and the completion time of emergency orders as the optimization objectives. For the model, a dynamic interaction layer (DIL) model, which has a better performance on DFJSP, is proposed to replace the scroll window. Particle swarm genetic hybrid algorithm (PSGA) is designed to combine the particle swarm optimization algorithm with the genetic algorithm to enhance the ability of local search. Aiming at the unexpected urgent orders in flexible job shop, DIL and PSGA are combined to solve the dynamic scheduling problem. The simulation experiments verify DIL's ability to handle urgent orders and the effectiveness of PSGA.

Key words: flexible job shop scheduling problem, particle swarm genetic hybrid algorithm, dynamic interaction layer, dynamic scheduling

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