2-approximation algorithms for two variants of the static stochastic joint replenishment problem

IF 0.8 4区管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Operations Research Letters Pub Date : 2025-06-10 DOI:10.1016/j.orl.2025.107321

Guillaume Massonnet , Gautier Stauffer

引用次数: 0

Abstract

In this work, it is demonstrated that the technique developed by Gayon et al. (2017) [11] for designing 2-approximation algorithms for the one-warehouse multi-retailer (OWMR) problem is highly versatile and can be applied to stochastic variants of the original OWMR problem. The mechanics of this approach are illustrated on two (static) stochastic variants of the Joint Replenishment Problem (JRP). Additionally, the simplicity and versatility of this technique suggest its potential for broader applications in the stochastic setting.

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静态随机联合补给问题的2-逼近算法

在这项工作中，证明了Gayon等人（2017）[11]开发的用于为一仓库多零售商（OWMR）问题设计2-逼近算法的技术是高度通用的，可以应用于原始OWMR问题的随机变体。联合补给问题（JRP）的两个（静态）随机变量说明了这种方法的机制。此外，该技术的简单性和通用性表明它在随机环境中有更广泛的应用潜力。

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

Operations Research Letters 管理科学-运筹学与管理科学

CiteScore

2.10

自引率

9.10%

发文量

111

审稿时长

83 days

期刊介绍： Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.