China Mechanical Engineering ›› 2021, Vol. 32 ›› Issue (13): 1617-1629.DOI: 10.3969/j.issn.1004-132X.2021.13.014

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An Multi-objective Optimized Production Scheduling for Automobile Prototype Workshops Considering Employee Work Ability#br#

YI Qian1;HE Shuang2;NING Qing2;LI Congbo1;YI Shuping2   

  1. 1.State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing,400030
    2.College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing,400030
  • Online:2021-07-10 Published:2021-07-16

汽车试制车间考虑员工作业能力的多目标优化生产调度

易茜1;何爽2;宁轻2;李聪波1;易树平2   

  1. 1.重庆大学机械与运载工程学院,重庆,400030
    2.重庆大学机械传动国家重点实验室,重庆,400030
  • 作者简介:易茜,女,1986年生,博士、讲师。研究方向为生产管理、绿色制造。E-mail:yiqian@cqu.edu.cn。
  • 基金资助:
    国家自然科学基金(52005062);
    国家重点研发计划(2018YFB1701205)

Abstract: The reasonable scheduling scheme of employee-task in the automobile prototype workshop was the key to ensure the smooth progress of production. In view of the characteristics and existing problems of automobile prototype workshops, an evaluation system of employee work ability was designed based on decision-making trial and evaluation laboratory-analytic network process(DEMATEL-ANP) method. On account of the quantitative assessment of employee work ability, a workshop scheduling optimization model was established considering employee work ability, aiming at the makespan, the balance degree of skill utilization and labor cost. A non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) based on technique for order preference by similarity to ideal solution(TOPSIS) was adopted to solve the model and get the relative optimal solution. Finally, the feasibility and effectiveness of the proposed model and method were verified through practical production cases.

Key words: prototype workshop, employee work ability, production scheduling, multi-objective optimization

摘要: 汽车试制车间员工-任务的合理调度方案是保障汽车企业样车试制生产顺利进行的关键。针对汽车试制车间的生产特点及存在的问题,设计了基于决策制定试验和评估实验室与网络分析流程(DEMATEL-ANP)方法的员工作业能力评价体系。基于员工作业能力量化评估,以最大完工时间、员工技能利用均衡度和人工成本为目标,建立了考虑员工作业能力的车间生产调度优化模型,并采用基于逼近理想解排序法(TOPSIS)的非支配排序遗传算法-Ⅱ(NSGA-Ⅱ)对模型进行优化求解。最后通过某汽车制造企业试制车间实际生产案例,对所提模型及方法的有效性和实用性进行验证。

关键词: 试制车间, 员工作业能力, 生产调度, 多目标优化

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