随机一仓库多零售商库存系统整数比率政策的精确评估与优化

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

Operations Research Letters Pub Date : 2024-05-28 DOI:10.1016/j.orl.2024.107132

Qinan Wang , Zihan Zhou , Guangyu Wan

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引用次数: 0

摘要

本文考虑的是一个仓库多个零售商的库存系统。零售商是非相同的，并面临泊松需求过程。我们考虑了一种整数比率政策，即每个零售商在一个固定的间隔内下单，该间隔是仓库再订购间隔的整数倍或整数比率倍数。假定采用基本库存政策和虚拟分配。我们的研究表明，零售商的成本评估是完全可分离的，从而为具有异构零售商的两级分销系统开发出一种简单的最优整数比率政策。

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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Exact evaluation and optimization of integer-ratio policies for stochastic one-warehouse multiple-retailer inventory systems

This paper considers one-warehouse multiple-retailer inventory systems. The retailers are non-identical and face Poisson demand processes. We consider an integer-ratio policy in which each retailer orders in a fixed interval that is either an integer or integer-ratio multiple of the warehouse's reorder interval. Base-stock policy and virtual allocation are assumed. We show that cost evaluations at the retailers are completely separable, leading to a simple approach to develop an optimal integer-ratio policy for a two-level distribution system with heterogeneous retailers.

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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.