SAFETY STOCK OPTIMIZATION IN MULTISTAGE INVENTORY SYSTEMS

被引：62

作者：

INDERFURTH, K

机构：

[1] University of Bielefeld, Universitatsstr. 25

来源：

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 1991年 / 24卷 / 1-2期

关键词：

D O I：

10.1016/0925-5273(91)90157-O

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Determining appropriate safety stocks in stochastic multi-stage production/distribution systems is a very difficult task. Approaches for optimal determination of safety stocks regarding cost objectives and service level restrictions which are suitable for practical applications can only be found for a very limited class of multi-stage inventory problems like problems of strictly serial structure or special two-stage production/distribution systems. In this paper a procedure for determining the optimal size and distribution of safety stocks in a general serial or divergent production/distribution process ruled by a base-stock control policy is presented. This approach especially allows for taking into account the impact of end-item demand correlation on distribution and size of safety stocks by using risk-pooling effects in divergent systems. A powerful dynamic programming algorithm for solving the safety stock optimization problem is developed, and impacts of problem parameter variations on the optimal solution are discussed.

引用

页码：103 / 113

页数：11

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