Inventory Pooling Under Heavy-Tailed Demand

报童模式 联营 安全库存 库存(枪支) 库存控制 存货理论 经济 背景(考古学) 库存管理 计算机科学 运筹学 计量经济学 运营管理 数学 供应链 业务 生物 工程类 古生物学 人工智能 机械工程 营销
作者
Kostas Bimpikis,Mihalis G. Markakis
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:62 (6): 1800-1813 被引量:69
标识
DOI:10.1287/mnsc.2015.2204
摘要

Risk pooling has been studied extensively in the operations management literature as the basic driver behind strategies such as transshipment, manufacturing flexibility, component commonality, and drop shipping. This paper explores the benefit of risk pooling in the context of inventory management using the canonical model first studied in Eppen [Eppen GD (1979) Effects of centralization on expected costs in a multi-location newsboy problem. Management Sci. 25(5):498–501]. Specifically, we consider a single-period, multilocation newsvendor model, where n different locations face independent and identically distributed demands and linear holding and backorder costs. We show that Eppen’s celebrated result, i.e., that the expected cost savings from centralized inventory management scale with the square root of the number of locations, depends critically on the “light-tailed” nature of the demand uncertainty. In particular, we establish that the benefit from pooling relative to the decentralized case, in terms of both expected cost and safety stock, is equal to n (α–1)/α for a class of heavy-tailed demand distributions (stable distributions), whose power-law asymptotic decay rate is determined by the parameter α ∈ (1, 2). Thus, the benefit from pooling under heavy-tailed demand uncertainty can be significantly lower than [Formula: see text], which is predicted for normally distributed demands. We discuss the implications of this result on the performance of periodic-review policies in multiperiod inventory management, as well as for the profits associated with drop-shipping fulfillment strategies. Corroborated by an extensive simulation analysis with heavy-tailed distributions that arise frequently in practice, such as power law and log normal, our findings highlight the importance of taking into account the shape of the tail of demand uncertainty when considering a risk pooling initiative. This paper was accepted by Serguei Netessine, operations management.
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