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The burn-in test scheduling problem with batch dependent processing time and sequence dependent setup time

机译:带有批次相关处理时间和序列依赖建立时间的老化测试计划问题

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The burn-in test scheduling problem (BTSP) is a variation of the complex batch processing machine scheduling problem, which is also a generalisation of the liquid crystal injection scheduling problem with incompatible product families and classical identical parallel machine problem. In the case we investigated on the BTSP, the jobs are clustered by their product families. The product families can be clustered by different product groups. In the same product group, jobs with different product families can be processed as a batch. The batch processing time is dependent on the longest processing time of those jobs in that batch. Setup times between two consecutive batches of different product groups on the same batch machine are sequentially dependent. In addition, the unequal ready times are considered in the BTSP which involves the decisions of batch formation and batch scheduling in order to minimise the total machine workload without violating due dates and the limited machine capacity restrictions. Since the BTSP involves constraints on unequal ready time, batch dependent processing time, and sequence dependent setup times, it is more difficult to solve than the classical parallel batch processing machine scheduling problem with compatible product families or incompatible product families. These restrictions mean that the existing methods cannot be applied into real-world factories directly. Consequently, this paper proposes a mixed integer programming model to solve the BTSP exactly. In addition, two efficient solution procedures which solve the BTSP are also presented.
机译:老化测试计划问题(BTSP)是复杂批处理机器计划问题的变体,也是对具有不兼容产品系列和经典相同并行机问题的液晶注入计划问题的概括。在我们对BTSP进行调查的情况下,工作按其产品系列进行了聚类。产品系列可以按不同的产品组聚类。在同一产品组中,具有不同产品系列的作业可以批量处理。批处理时间取决于该批处理中那些作业的最长处理时间。同一批计算机上两个不同产品组的连续批次之间的设置时间顺序相关。另外,在BTSP中考虑了不平等的准备时间,这涉及批生产形成和批生产计划的决定,以便在不违反到期日期和有限的机器容量限制的情况下,最大程度地减少机器的总工作量。由于BTSP涉及不平等的准备时间,批次依赖的处理时间和序列依赖的建立时间的约束,因此比具有兼容产品系列或不兼容产品系列的经典并行批处理机器调度问题更难解决。这些限制意味着现有方法无法直接应用于实际工厂。因此,本文提出了一种混合整数规划模型来精确求解BTSP。此外,还提出了两种解决BTSP的有效解决方案。

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