"Extra!" Using the Newsvendor Model to Optimize War Reserve Storage

M. Pak, Joshua Peeples, J. Klamo
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Abstract

The United States Marine Corps (USMC) Installation and Logistics Command requested a study for determining appropriate inventory levels of war reserve materiel to meet future operational needs under surge demands in uncertain environments. This study sought to explore a potential approach by using the common newsvendor model, but modified for a military scenario. The authors’ novel version of this core concept considers the purchase and storage costs of an item and proposes an intangible cost function to capture the consequences of a shortage. Further, they show a sample application of the model using a ubiquitous military item—the BA-5590/U battery. The output of the model provides USMC with a new tool to optimize inventory levels of a given item of interest, depending on scenario inputs.
“多!”利用报贩模型优化战争储备储存
美国海军陆战队(USMC)安装和后勤司令部要求进行一项研究,以确定适当的战争储备物资库存水平,以满足未来在不确定环境下激增需求下的作战需求。本研究试图探讨一个潜在的方法通过使用公共报纸经销人模型,但是对于一个军事场景修改。作者的小说版本的核心概念考虑物品的购买和存储成本,提出了一种无形的成本函数来捕获短缺的后果。此外,他们还展示了该模型的一个示例应用,该应用使用了一种普遍存在的军事物品- BA-5590/U电池。该模型的输出为USMC提供了一个新工具,可以根据场景输入来优化给定感兴趣项目的库存水平。
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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