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An adaptive tabu search approach for buffer allocation problem in unreliable non-homogenous production lines

机译:不可靠非均匀生产线中缓冲区分配问题的自适应禁忌搜索方法

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摘要

The buffer allocation problem, i.e. how much buffer storage to allow and where to place it within the line, is an important research issue in designing production lines. In this study, a novel adaptive tabu search approach is proposed for solving buffer allocation problem in unreliable and non-homogeneous production lines. The objective is to maximize the throughput of the line, which is constrained by the capacity of each buffer space and also the total buffer capacity to allocate to these spaces. Besides proposing a new strategy to tune the parameters of tabu search adaptively during the search, an experimental study is carried out to select an intelligent initial solution scheme among three alternatives so as to decrease the search effort to obtain the best solutions. The performance of the proposed approach is evaluated by computational tests and very promising results are obtained.
机译:缓冲区分配问题,即允许多少缓冲区存储以及在生产线上放置的位置,是设计生产线时的重要研究问题。在这项研究中,提出了一种新颖的自适应禁忌搜索方法,用于解决不可靠且不均匀的生产线中的缓冲区分配问题。目的是使生产线的吞吐量最大化,这受每个缓冲区空间的容量以及分配给这些空间的总缓冲区容量的限制。除了提出一种在搜索过程中自适应调整禁忌搜索参数的新策略外,还进行了一项实验研究,以从三个备选方案中选择一种智能的初始解决方案,从而减少了搜索工作,以获得最佳解决方案。通过计算测试评估了所提出方法的性能,并获得了非常有希望的结果。

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