Adapting the newsvendor model for infinite-horizon inventory systems

被引:11
作者
Geunes, JP
Ramasesh, RV [1 ]
Hayya, JC
机构
[1] Texas Christian Univ, Dept Decis Sci, Ft Worth, TX 76129 USA
[2] Univ Florida, Dept Ind Engn, Gainesville, FL 32611 USA
[3] Penn State Univ, University Pk, PA 16802 USA
关键词
inventory; EOQ models; newsvendor mode;
D O I
10.1016/S0925-5273(00)00149-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We address inventory decisions in the context of the "reorder-point, order-quantity" policy in infinite-horizon, stochastic lead-time demand inventory systems in which the parameters may be non-stationary. We develop a heuristic policy based on the simple economic order quantity (EOQ) model and the one-period newsvendor model. Using illustrative numerical examples, we demonstrate that our simple and easy-to-understand heuristic policy performs nearly as well as the optimal policy derived from complicated mathematical procedures. Our heuristic policy is simple, easy-to-implement, and flexible in that it can be easily adapted to situations when the parameters of the inventory system may change. Analytical modeling under non-stationary parameters would be extremely complex and the derivation of closed form optimal policies is mathematically intractable in most cases. In such cases, practitioners will find our heuristic policy an attractive option. (C) 2001 Elsevier Science BY. All rights reserved.
引用
收藏
页码:237 / 250
页数:14
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