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Minimizing Total Tardiness in a Hybrid Flexible Flowshop with Sequence Dependent Setup Times

机译:最大限度地减少混合灵活流程中的总迟到序列依赖性设置时间

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In this paper, we propose different local search algorithms to solve a realistic variant of the flowshop problem. The variant considered here is a hybrid flexible flowshop problem with sequence-dependent setup times, and with the objective of minimizing the total tardiness. In this variant of flowshop, stage skipping might occur, i.e., not all stages must be visited by all jobs. This scheduling problem is frequently used in batch production, helping to reduce the gap between research and operational use. While there is some research on minimizing the makespan, to our knowledge no work has been reported on minimizing the total tardiness for this problem. The proposed approaches present different neighborhood searches. Numerical experiments compare the performance of the different algorithms on new benchmarks generated for this problem.
机译:在本文中,我们提出了不同的本地搜索算法来解决流程问题的逼真变体。这里考虑的变体是一个混合灵活的流程问题,具有序列依赖的设置时间,并且目的是最小化总衰退。在流程的这种变体中,可能发生阶段跳跃,即,所有工作都不会访问所有阶段。该调度问题经常用于批量生产,有助于降低研究和操作使用之间的差距。虽然有一些关于最小化Mapspan的研究,但对于我们的知识,没有关于最小化此问题的总迟到的工作。拟议的方法存在不同的邻里搜索。数值实验比较不同算法对此问题生成的新基准的性能。

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