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A method combining rules with genetic algorithm for minimizing makespan on a batch processing machine with preventive maintenance

机译:一种与预防性维护的批量加工机中最小化MakEspan的遗传算法的方法

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摘要

This paper considers the problem of minimising makespan on a single batch processing machine with flexible periodic preventive maintenance. This problem combines two sub-problems, scheduling on a batch processing machine with jobs' release dates considered and arranging the preventive maintenance activities on a batch processing machine. The preventive maintenance activities are flexible but the maximum continuous working time of the machine, which is allowed, is determined. A mathematical model for integrating flexible periodic preventive maintenance into batch processing machine problem is proposed, in which the grouping of jobs with incompatible job families, the starting time of batches and the preventive maintenance activities are optimised simultaneously. A method combining rules with the genetic algorithm is proposed to solve this model, in which a batching rule is proposed to group jobs with incompatible job families into batches and a modified genetic algorithm is proposed to schedule batches and arrange preventive maintenance activities. The computational results indicate the method is effective under practical problem sizes. In addition, the influences of jobs' parameters on the performance of the method are analyzed, such as the number of jobs, the number of job families, jobs' processing time and jobs' release time.
机译:本文考虑了具有灵活的定期预防性维护的单批处理机上最小化MakEspan的问题。此问题结合了两个子问题,在批处理机器上调度,其中包含作业的发布日期并在批处理机上安排预防性维护活动。预防性维护活动是灵活的,但确定了机器的最大连续工作时间。提出了一种用于将灵活的周期性预防性维护集成到批处理机器问题的数学模型,其中,使用不兼容的作业系列,批次开始时间和预防性维护活动的作业分组。提出了一种与遗传算法的规则组合规则来解决该模型,其中建议将具有不兼容的作业系列的作业对批次进行分组,并提出修改的遗传算法来安排批量并安排预防性维护活动。计算结果表明该方法在实际问题尺寸下有效。此外,分析了就业机构参数对方法性能的影响,例如作业的数量,作业系列,作业处理时间和作业的发布时间。

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