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Optimal buffer allocation for serial production lines using heuristic search algorithms: a comparative study

机译:使用启发式搜索算法的串行生产线的最佳缓冲区分配:比较研究

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摘要

The buffer allocation problem (BAP) is one of the major optimisation problems faced by production system designers. BAP is widely studied in the literature since buffers have a great impact on efficiency of production lines. This paper deals with buffer allocation problem and compares the performance of three heuristic search algorithms, namely myopic algorithm (MA), degraded ceiling (DC), and adaptive tabu search (ATS) with respect to both throughput maximisation and also computational time. To generalise experimental findings the experiments have been conducted both for reliable and also unreliable serial production lines over various sizes of problem instances. It is hoped that the findings of this research study can serve as a guideline for the decision makers while designing and operating production lines.
机译:缓冲区分配问题(BAP)是生产系统设计人员面临的主要优化问题之一。由于缓冲液对生产线的效率产生了很大的影响,因此在文献中广泛研究了BAP。本文涉及缓冲区分配问题,并比较三种启发式搜索算法,即近视算法(MA),降级的天花板(DC)和自适应禁忌搜索(ATS)的性能,以及计算时间。为了概括实验结果,在各种规模的问题实例上进行了可靠性和不可靠的串行生产线的实验。希望这项研究的结果可以作为决策者的指导,同时设计和运营生产线。

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