两阶段装配调度问题的新启发式方法,最小化总提前率和迟到率:计算评估

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

传统上,调度文献主要侧重于解决与非装配操作相关的作业处理问题。尽管近年来人们对装配问题的关注与日俱增,但对该问题的认识在很多方面仍处于早期阶段。在这方面,我们还没有发现任何以前的研究成果能够解决具有准时目标的装配调度问题。为了填补这一空白,本文研究了两阶段装配调度问题,即最小化总提前率和总延迟率之和。我们首先分析了决策问题与作业到期日生成之间的关系,并根据不同的实例确定了与不同相关决策问题的等价性。分析中获得的属性和结论被应用于设计两个构造启发式和一个复合启发式。为了评估我们的建议,我们采用了相关调度问题最先进的不同启发式算法,并进行了计算评估。通过广泛的计算评估,证明了所建议算法的卓越性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New heuristics for the 2-stage assembly scheduling problem with total earliness and tardiness minimisation: A computational evaluation

Traditionally, scheduling literature has focused mainly on solving problems related to processing jobs with non-assembly operations. Despite the growing interest in the assembly literature in recent years, knowledge of the problem is still in its early stages in many aspects. In this regard, we are not aware of any previous contributions that address the assembly scheduling problem with just-in-time objectives. To fill this gap, this paper studies the 2-stage assembly scheduling problem minimising the sum of total earliness and total tardiness. We first analyse the relationship between the decision problem and the generation of the due dates of the jobs, and identify the equivalences with different related decision problems depending on the instances. The properties and conclusions obtained in the analysis are applied to design two constructive heuristics and a composite heuristic. To evaluate our proposals, different heuristics from the state-of-the-art of related scheduling problems are adapted, and a computational evaluation is carried out. The excellent behaviour of the proposed algorithms is demonstrated by an extensive computational evaluation.

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来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
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