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A water-flow algorithm for flexible flow shop scheduling with intermediate buffers

机译:具有中间缓冲区的灵活流水车间调度的水流算法

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We investigate the flexible flow shop scheduling problem with limited or unlimited intermediate buffers. A common objective of the problem is to find a production schedule that minimizes the completion time of jobs. Other objectives that we also consider are minimizing the total weighted flow time of jobs and minimizing the total weighted tardiness time of jobs. We propose a water-flow algorithm to solve this scheduling problem. The algorithm is inspired by the hydrological cycle in meteorology and the erosion phenomenon in nature. In the algorithm, we combine the amount of precipitation and its falling force to form a flexible erosion capability. This helps the erosion process of the algorithm to focus on exploiting promising regions strongly. To initiate the algorithm, we use a constructive procedure to obtain a seed permutation. We also use an improvement procedure for constructing a complete schedule from a permutation that represents the sequence of jobs in the first stage of the scheduling problem. To evaluate the proposed algorithm, we use benchmark instances taken from the literature and randomly generated instances of the scheduling problem. The computational results demonstrate the efficacy of the algorithm. We have also obtained several improved solutions for the benchmark instances using the proposed algorithm. We further illustrate the algorithm's capability for solving problems in practical applications by applying it to a maltose syrup production problem.
机译:我们研究了具有有限或无限中间缓冲区的灵活流水车间调度问题。该问题的共同目标是找到使工作完成时间最短的生产计划。我们还考虑的其他目标是最大程度地减少工作的总加权流动时间,并最小化工作的总加权拖延时间。我们提出一种水流算法来解决该调度问题。该算法的灵感来自于气象学中的水文循环和自然界中的侵蚀现象。在该算法中,我们结合了降水量及其下降力来形成灵活的侵蚀能力。这有助于算法的侵蚀过程集中精力大力开发有前景的区域。为了启动该算法,我们使用一个构造性过程来获得种子排列。我们还使用一种改进程序来从表示调度问题第一阶段作业序列的排列中构造出完整的调度。为了评估提出的算法,我们使用从文献中获取的基准实例以及调度问题的随机生成实例。计算结果证明了该算法的有效性。我们还使用提出的算法为基准实例获得了几种改进的解决方案。通过将其应用于麦芽糖浆生产问题,我们进一步说明了该算法解决实际应用中问题的能力。

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