修改了固定和可变延迟成本的ATCR规则

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shubham Keshri, Rohit Gupta, Avijit Khanra
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引用次数: 0

摘要

延迟完成客户订单会导致延迟处罚,可以通过有效的调度来减少延迟处罚。本文主要研究单机问题中与延迟相关的两个关键目标的最小化问题:延迟作业的加权数和延迟总加权数。这些目标分别代表了延迟处罚的固定成本和可变成本。我们建立了序列中任意两个相邻作业之间的优先级关系,并将其推广到改进的带就绪时间的表观延迟成本(ATCR)优先级指标。在此基础上,提出了一种基于调度规则的启发式算法,并通过引入相邻作业的成对交换来提高其性能。数值研究表明,与分支方法得到的基准解相比,启发式算法具有较高的精度和较好的时间性能;对于较小的实例使用绑定算法,对于较大的实例使用遗传算法。我们的启发式方法适用于单个和相同的并行机环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified ATCR rule for fixed and variable costs of tardiness
Delay in fulfilling customer orders leads to tardiness penalties, which can be reduced through effective scheduling. This paper focuses on minimizing two key tardiness-related objectives for the single machine problem: the weighted number of tardy jobs and total weighted tardiness. These objectives represent the fixed and variable costs of tardiness penalties, respectively. We establish a precedence relation between any two adjacent jobs in a sequence and extend it to develop the modified Apparent Tardiness Cost with Ready times (ATCR) priority index. Based on this priority index, we propose a dispatching rule-based heuristic and enhance its performance by incorporating adjacent pairwise interchange of jobs. Numerical study demonstrated that the heuristic has a high level of accuracy and superior time performance compared to the benchmark solutions obtained by a branch & bound algorithm for smaller instances and a genetic algorithm for larger instances. Our heuristic works for both the single and identical parallel machine environments.
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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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