• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2024, Vol. 60 ›› Issue (6): 114-126.doi: 10.3901/JME.2024.06.114

• 特邀专栏:数据-知识混合驱动的智能制造系统 • 上一篇    下一篇

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双资源约束的柔性作业车间鲁棒调度方法

梁志珍, 王晓佳   

  1. 合肥工业大学管理学院 合肥 230009
  • 收稿日期:2023-06-13 修回日期:2023-10-15 出版日期:2024-03-20 发布日期:2024-06-07
  • 通讯作者: 王晓佳,男,1983年出生,博士,副教授,博士研究生导师。主要研究方向为复杂任务规划与决策。E-mail:xjwang@hfut.edu.cn
  • 作者简介:梁志珍,女,1997年出生,博士研究生。主要研究方向为复杂任务规划与决策。E-mail:zzliang@mail.hfut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(U2001201, 61876055)。

Dual Resource Constraints Flexible Job Shop Robust Scheduling Method

LIANG Zhizhen, WANG Xiaojia   

  1. School of Management, Hefei University of Technology, Hefei 230009
  • Received:2023-06-13 Revised:2023-10-15 Online:2024-03-20 Published:2024-06-07

摘要: 针对考虑工人技能水平差异和加工时间随机性的设备、工人双资源约束的柔性作业车间调度问题(Flexible job shop scheduling problem, FJSP),构建双资源约束的柔性作业车间鲁棒调度模型(Dual resource constraint flexible job shop robust scheduling problem, DRC-FJRSP)。将粒子群算法(Particle swarm optimization, PSO)的学习机制引入差分算法(Differential evolution, DE)的交叉部分,设计PSO-DE混合求解算法,实现问题的加速求解并有效避免搜索停滞的窘境。选取DE算法、遗传算法(Genetic algorithm, GA)、PSO算法作为对比算法进行仿真试验,试验结果显示,所提出的PSO-DE混合求解算法平均鲁棒性为5.331,在三个仿真算例调度makespan求解中表现最好。验证了DRC-FJRSP模型的合理性以及PSO-DE混合求解算法的鲁棒性。最后,以一个制造企业的FJSP为例进行求解,给出调度甘特图。研究解决了设备、工人资源不足给FJSP带来的加工冲突,降低了加工时间的随机扰动,优化了调度的makespan。

关键词: 双资源约束, 柔性作业车间, 鲁棒调度, PSO-DE混合求解算法

Abstract: Aiming at the flexible job shop scheduling problem(FJSP) considering the difference in workers' skill level and the randomness of processing time, the dual resource constraint flexible job shop robust scheduling problem(DRC-FJRSP) model is constructed. The learning mechanism of particle swarm optimization(PSO) is introduced into the cross part of differential evolution (DE), and a PSO-DE hybrid solution algorithm is designed to realize the accelerated solution of the problem and effectively avoid the dilemma of search stagnation. DE, genetic algorithm(GA) and PSO are selected as comparison algorithms for simulation experiments. The experimental results show that the average robustness of the proposed PSO-DE hybrid solution algorithm is 5.331, which performs best in scheduling makespan solutions of three simulation examples. The rationality of DRC-FJRSP model and the robustness of PSO-DE hybrid solution algorithm are verified. Finally, taking the FJSP of a manufacturing enterprise as an example to solve the problem, the scheduling Gantt chart is given. The research solves the processing conflict caused by the shortage of equipment and worker resources to FJSP, reduces the random disturbance of processing time, and optimizes the makespan of scheduling.

Key words: dual resource constrains, flexible job shop, robust scheduling, PSO-DE hybrid solution algorithm

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