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Setting a common due date in a constrained flowshop: A variable neighbourhood search approach

机译:在受约束的Flowshop中设置共同的到期日:一种可变邻域搜索方法

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摘要

In this paper we study a due date setting problem in a flowshop layout. The problem consists of scheduling a set of jobs arriving to the system together with jobs already present (denoted as old jobs), in order to set a common due date for the new jobs. Since the old jobs have a common due date that must not be violated, our problem is a rescheduling problem with the objective of minimising the makespan of the new jobs (thus obtaining the tightest possible due date for the new jobs) and a constraint since the maximum tardiness of the old jobs must be equal to zero. This approach leads to an interesting scheduling problem in which two different objectives are considered, each one for a subset of the jobs that must be scheduled. To the best of our knowledge, this type of problems have been scarcely considered in the literature, and only for very specific purposes. Since our problem is clearly NP-hard, a new heuristic based on variable neighbourhood search (VNS) has been designed. The computational results show that our proposed heuristic outperforms two existing heuristic methods for similar problems in the literature.
机译:在本文中,我们研究了Flowshop布局中的到期日设置问题。该问题包括安排一组到达系统的作业以及已经存在的作业(称为旧作业),以便为新作业设置一个共同的截止日期。由于旧工作有一个不可逾越的共同到期日,因此我们的问题是一个重新计划的问题,其目的是最大程度地减少新工作的有效期(从而为新工作获得最紧密的到期日)和自旧工作的最大延迟必须等于零。这种方法导致了一个有趣的调度问题,其中考虑了两个不同的目标,每个目标对应于必须调度的一部分工作。据我们所知,文献中几乎没有考虑过这类问题,只是出于非常特殊的目的。由于我们的问题显然是NP难题,因此已经设计了一种基于可变邻域搜索(VNS)的新启发式算法。计算结果表明,我们提出的启发式算法优于文献中针对相似问题的两种现有启发式方法。

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