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Solution algorithms for synchronous flow shop problems with two dominating machines

机译:两台主控机器同步流水车间问题的解决方案算法

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In this paper, we present solution algorithms for synchronous flow shop problems with two dominating machines. In such an environment, jobs have to be moved from one machine to the next by an unpaced synchronous transportation system, which implies that the processing is organized in synchronized cycles. This means that in each cycle the current jobs start at the same time on the corresponding machines and after processing have to wait until the last job is finished. Afterwards, all jobs are moved to the next machine simultaneously. Motivated by a practical application, we investigate the special case of two dominating machines where the processing times of all jobs on these two machines are at least as large as the processing times of all jobs on the other machines and hence always determine the cycle times. After formulating the considered problem as a special vehicle routing problem, we propose mixed integer linear programming formulations and a tabu search algorithm. Finally, we present computational results for randomly generated data and show the efficiency of the approaches. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了用于两台主导机器的同步流水车间问题的解决方案算法。在这样的环境中,必须通过无节奏的同步运输系统将作业从一台机器移到另一台机器,这意味着处理以同步周期进行组织。这意味着在每个循环中,当前作业在相应的机器上同时启动,并且在处理之后必须等待直到最后一个作业完成。之后,所有作业同时移至下一台机器。出于实际应用的动机,我们研究了两台主导机器的特殊情况,其中这两台机器上所有作业的处理时间至少与另一台机器上所有作业的处理时间一样长,因此始终确定周期时间。将考虑的问题表述为特殊的车辆路径问题后,我们提出了混合整数线性规划公式和禁忌搜索算法。最后,我们给出了随机生成数据的计算结果,并显示了方法的效率。 (C)2016 Elsevier Ltd.保留所有权利。

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