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Branch-and-bound algorithms for minimizing total earliness and tardiness in a two-machine permutation flow shop with unforced idle allowed

机译:分支和绑定算法,用于最大限度地减少两台机器排列流程商店中的总,允许尚未曝光的闲置

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The two-machine permutation flow shop scheduling problem with the objective of minimizing total earliness and tardiness is addressed. Unforced idle time can be used to complete jobs closer to their due dates. It is shown that unforced idle time only needs to be considered on the second machine. This result is then used to extend a lower bound and dominance conditions for the single-machine problem to the two-machine permutation flow shop problem. Two branch-and-bound algorithms are developed for the problem utilizing the lower bound and dominance conditions. The algorithms are tested using instances that represent a wide variety of conditions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:双机置换流量店调度问题,目的是最小化完全重启和迟到的目标。 Uncelced Idle Time可用于完成更接近其应有日期的作业。结果表明,只需要在第二台机器上考虑突出的空闲时间。然后,该结果用于扩展单机器问题的下界和优势条件,对双机置换流楼问题问题。为利用下限和优势条件的问题开发了两个分支和绑定算法。使用表示各种条件的实例测试算法。 (c)2019 Elsevier Ltd.保留所有权利。

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