Asymptotic optimality of base-stock policies for lost-sales inventory systems with stochastic lead times

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

Operations Research Letters Pub Date : 2024-10-11 DOI:10.1016/j.orl.2024.107196

Shilin Yuan , Jiameng Lyu , Jinxing Xie , Yuan Zhou

引用次数: 0

Abstract

We consider the lost-sales inventory systems with stochastic lead times and establish the asymptotic optimality of base-stock policies for such systems. Specifically, we prove that as the per-unit lost-sales penalty cost becomes large compared to the per-unit holding cost, the ratio of the optimal base-stock policy's cost to the optimal cost converges to one. Our paper provides a theoretical guarantee of the widely adopted base-stock policies in lost-sales inventory systems with stochastic lead times for the first time.

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具有随机提前期的损耗销售库存系统的基本库存政策的渐近最优性

我们考虑了具有随机提前期的销售损失库存系统，并建立了此类系统的基本库存政策的渐进最优性。具体来说，我们证明了当单位销售损失惩罚成本与单位持有成本相比变得很大时，最优基本库存政策的成本与最优成本之比趋近于1。我们的论文首次为具有随机提前期的销售损失库存系统中广泛采用的基本库存政策提供了理论保证。

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.