Polynomial-time algorithms for single resource stochastic capacity expansion models with lost sales

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Infor Pub Date : 2021-10-02 DOI:10.1080/03155986.2021.1971594
M. Taghavi, Kai Huang, A. Golmohammadi
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引用次数: 0

Abstract

Abstract In this paper, we consider multi-period single resource stochastic capacity expansion problems with lost sales. We study two models. The first model does not consider fixed-charge for capacity purchases, while the second one incorporates fixed-charges. We use multi-stage stochastic integer programs to present both models and show how adding the fixed-charge cost changes the structure of the mathematical models. For both models, we study their structures and design polynomial-time algorithms to solve them. We present computational results to show the performance of the designed algorithms.
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含销售损失的单资源随机容量扩展模型的多项式时间算法
摘要本文研究具有销售损失的多周期单资源随机扩容问题。我们研究了两个模型。第一个模型不考虑容量购买的固定收费,而第二个模型则包含固定收费。我们使用多阶段随机整数程序来呈现这两个模型,并展示了增加固定费用如何改变数学模型的结构。对于这两个模型,我们研究了它们的结构,并设计了多项式时间算法来求解它们。我们给出了计算结果来证明所设计算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infor
Infor 管理科学-计算机:信息系统
CiteScore
2.60
自引率
7.70%
发文量
16
审稿时长
>12 weeks
期刊介绍: INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.
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