计算机集成制造系统 ›› 2022, Vol. 28 ›› Issue (5): 1424-1434.DOI: 10.13196/j.cims.2022.05.014

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考虑工时可变的飞机总装资源配置与作业调度

鲍中凯,裘柯钧,陈璐+   

  1. 上海交通大学工业工程与管理系
  • 出版日期:2022-05-30 发布日期:2022-06-08
  • 基金资助:
    国家自然科学基金资助项目(51775347)。

Resource allocation and process scheduling problem of aircraft final assembly considering variable processing time

  • Online:2022-05-30 Published:2022-06-08
  • Supported by:
    Project supported by the National Natural Science Foundation,China (No.51775347).

摘要: 为实现飞机总装生产线合理规划,建立了考虑工时可变,且以人员投入成本最低为目标,兼顾多重约束的飞机总装资源配置与作业调度数学模型。针对工时可变导致变量组合爆炸的问题,以遗传算法为框架提出了一种工时优选策略,首先设计了包含人员分配量列表与延时时间列表的双层实数编码方式,然后从精英解中提取关于人员分配量与延时时间的统计概率知识,实现工时优选,并将其应用于聚集与分散两条重启操作,改进优化方向。此外,还提出了一种不可行工期修复方法,以提高对可行域的搜索效率。最后,将该方法应用于不同规模的算例,得到了成本更低的优化结果,验证了该方法具有较强的搜索能力;同时,还探讨了不同工期对优化结果的影响。

关键词: 飞机总装, 资源配置, 作业调度, 工时可变, 优化

Abstract: To realize the reasonable planning of aircraft final-assembly line,the mathematical model of resource allocation and process scheduling for aircraft final-assembly was established,which considered variable processing time,minimized the investment cost and included multiple constraints.To solve the combination explosion caused by variable processing time,a selection strategy of processing time based on genetic algorithm was proposed.A real number coding with two layers was designed,including worker allocation list and delay time list.Then,the statistical probability knowledge about worker allocation and delay time was extracted from the elite solutions to realize the selection of processing time,which was then applied to two restart operations consisting of aggregation and decentralization to improve the optimization direction.Moreover,a repair procedure for infeasible duration was present to improve the search efficiency.In the application of the proposed method to different-sized cases,the results with lower cost were obtained,which demonstrated the strong search ability of the method,meanwhile the influence of different durations on the results was also discussed.

Key words: aircraft final assembly, resource allocation, process scheduling, variable processing time, optimization

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