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Multiobjective Joint Optimization of Production Scheduling and Maintenance Planning in the Flexible Job-Shop Problem

机译：柔性车间作业中生产计划与维护计划的多目标联合优化

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摘要

In order to solve the joint optimization of production scheduling and maintenance planning problem in the flexible job-shop, a multiobjective joint optimization model considering the maximum completion time and maintenance costs per unit time is established based on the concept of flexible job-shop and preventive maintenance. A weighted sum method is adopted to eliminate the index dimension. In addition, a double-coded genetic algorithm is designed according to the problem characteristics. The best result under the circumstances of joint decision-making is obtained through multiple simulation experiments, which proves the validity of the algorithm. We can prove the superiority of joint optimization model by comparing the result of joint decision-making project with the result of independent decision-making project under fixed preventive maintenance period. This study will enrich and expand the theoretical framework and analytical methods of this problem; it provides a scientific decision analysis method for enterprise to make production plan and maintenance plan.
机译：为了解决柔性作业车间中生产调度与维修计划的联合优化问题，基于柔性作业车间和预防性的概念，建立了考虑最大完成时间和单位时间维修成本的多目标联合优化模型。保养。采用加权和法消除指标维。另外，根据问题特征设计了双编码遗传算法。通过多次仿真实验获得联合决策条件下的最佳结果，证明了该算法的有效性。通过在固定预防性维护期内比较联合决策项目的结果和独立决策项目的结果，可以证明联合优化模型的优越性。这项研究将丰富和扩展这一问题的理论框架和分析方法；为企业制定生产计划和维护计划提供了科学的决策分析方法。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第20期|725460.1-725460.9|共9页
  • 作者

    Ye Jianfei; Ma Huimin;

  • 作者单位

    Univ Shanghai Sci & Technol, Sch Business, Shanghai 200093, Peoples R China;

    Shanghai Dianji Univ, Sch Business, Shanghai 201306, Peoples R China;

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  • 正文语种 eng
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