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A computational evaluation of constructive and improvement heuristics for the blocking flow shop to minimise total flowtime

机译:对阻塞流水车间的建设性和改进启发法的计算评估,以最大程度地减少总流水时间

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This paper focuses on the blocking flow shop scheduling problem with the objective of total flowtime minimisation. This problem assumes that there are no buffers between machines and, due to its application to many manufacturing sectors, it is receiving a growing attention by researchers during the last years. Since the problem is NP-hard, a large number of heuristics have been proposed to provide good solutions with reasonable computational times. In this paper, we conduct a comprehensive evaluation of the available heuristics for the problem and for related problems, resulting in the implementation and testing of a total of 35 heuristics. Furthermore, we propose an efficient constructive heuristic which successfully combines a pool of partial sequences in parallel, using a beam-search-based approach. The computational experiments show the excellent performance of the proposed heuristic as compared to the best-so-far algorithms for the problem, both in terms of quality of the solutions and of computational requirements. In fact, despite being a relative fast constructive heuristic, new best upper bounds have been found for more than 27% of Taillard's instances. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文着眼于总流程时间最小化的阻塞流水车间调度问题。该问题假定机器之间没有缓冲,并且由于其在许多制造业中的应用,在最近几年中,它受到了研究人员的越来越多的关注。由于问题是NP难题,因此提出了许多启发式方法,以在合理的计算时间内提供良好的解决方案。在本文中,我们对问题和相关问题的可用启发式方法进行了全面评估,从而总共实施和测试了35种启发式方法。此外,我们提出了一种有效的构造启发式方法,该方法使用基于波束搜索的方法成功地并行组合了部分序列池。从解决方案的质量和计算要求两方面,计算实验均表明,与迄今为止的最佳算法相比,该启发式算法具有出色的性能。实际上,尽管是相对快速的构造性启发式方法,但在超过27%的泰拉德实例中发现了新的最佳上限。 (C)2016 Elsevier Ltd.保留所有权利。

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