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首页> 外文期刊>International journal of computer science and network security >Using the LPT and the Palmer Approaches to Solve Group Flexible Flow-shop Problems
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Using the LPT and the Palmer Approaches to Solve Group Flexible Flow-shop Problems

机译:使用LPT和Palmer方法来解决组灵活的流店问题

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In simple flow shop problems, each machine operation center includes just one machine. If at least one machine center includes more than one machine, the scheduling problem becomes a flexible flow-shop problem. Recently, group scheduling has also been proposed and discussed. In the group scheduling, each job belongs to a specific group and all the jobs are processed group by group. In this paper, we propose a heuristic algorithm to solve group flexible flow-shop problems with more than two machine centers, which have the same number of machines. It first determines the job sequencing in each group by combining both the LPT and the Palmer approaches to solve the flexible flow-shop problems of more than two machine centers. It then determines group sequence by the Palmer approach. Experiments are also made to compare the performance of the proposed algorithm.
机译:在简单的流量店问题中,每个机器操作中心只包括一台机器。如果至少一台机器中心包括多台机器,则调度问题成为灵活的流店问题。最近,还提出并讨论了组调度。在组调度中,每个作业属于特定组,所有作业都是由组进行处理组的。在本文中,我们提出了一种启发式算法来解决群体灵活的流店问题,具有两个以上的机器中心,具有相同数量的机器。它首先通过组合LPT和PALMER方法来解决每个组中的作业排序,以解决两个以上的机器中心的柔性流量店问题。然后,通过PALMER方法确定组序列。还进行了实验来比较所提出的算法的性能。

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