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Performance evaluation of hybrid-CLP vs. GA: non-permutation flowshop with constrained resequencing buffers

机译:混合CLP与GA的性能评估:具有约束重排序缓冲区的非置换Flowshop

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摘要

This paper is located in the area of mixed model non-permutation flowshop production lines where jobs of more than one model are being processed on the same production line in an arbitrary sequence. Nevertheless, the majority of publications in this area are limited to solutions which determine the job sequence before the jobs enters the line and maintains it without interchanging jobs until the end of the production line, which is known as permutation flowshop. The present work considers a non-permutation flowshop. Resequencing is permitted where stations have access to intermediate or centralised resequencing buffers. The access to the buffers is restricted by the number of available buffer places and the physical size of the products. The primary objective is the minimisation of the make span, but also setup-cost and setup-time is contemplated. A hybrid approach, using constraint logic programming (CLP), is presented and compared to a genetic algorithm (GA). These solution methods are conceptually different and recommendations for their applicability are presented.
机译:本文位于混合模型非置换流水车间生产线区域,在同一生产线上以任意顺序处理多个模型的作业。然而,该领域中的大多数出版物仅限于解决方案,这些解决方案在作业进入生产线之前确定作业顺序,并在不交换作业的情况下保持作业顺序,直到生产线结束为止,这称为置换流程车间。本工作考虑了非置换流程。如果工作站可以访问中间或集中式重新排序缓冲区,则允许重新排序。对缓冲区的访问受到可用缓冲区位置数量和产品物理尺寸的限制。主要目的是最小化制造跨度,但是还可以考虑设置成本和设置时间。提出了一种使用约束逻辑编程(CLP)的混合方法,并将其与遗传算法(GA)进行了比较。这些解决方法在概念上有所不同,并提出了适用性的建议。

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