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Joint optimization of flowshop sequence-dependent manufacturing cell scheduling and preventive maintenance

机译：Flowshop顺序相关的制造单元调度和预防性维护的联合优化

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摘要

Considering the effects of machine breakdown and preventative maintenance (PM)on production scheduling in flowshop manufacturing cells, this paper focuses on investigating the joint optimization problem of flowshop sequence-dependent manufacturing cell scheduling and PM. A joint model is proposed and it aims to find the optimal production sequence of job families and individual jobs within each family and the optimal PM decisions before each job such that the sum of tardiness cost of jobs, PM and minimal repair cost of machines is minimized. A genetic algorithm-based approach is developed to solve the joint problem. Elitism strategy and local search are applied. The numerical results reveal the potential benefits of the consideration of PM and the integration of production scheduling and PM. Further experiments show elitism strategy and local search are important for improving the performance of the proposed approach.
机译：考虑到机器故障和预防性维护（PM）对Flowshop制造单元中生产调度的影响，本文重点研究了Flowshop序列相关制造单元调度和PM的联合优化问题。提出了一个联合模型，其目的是在每个工作之前找到最佳的工作族和每个工作族的生产顺序以及每个工作之前的最优PM决策，从而使工作的拖延成本，PM和机器的最小维修成本之和最小化。 。开发了一种基于遗传算法的方法来解决联合问题。应用精英策略和本地搜索。数值结果揭示了考虑PM以及将生产调度与PM集成的潜在好处。进一步的实验表明，精英策略和本地搜索对于提高所提出方法的性能很重要。

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