A neuro-dynamic programming approach to retailer inventory management

被引：0

作者：

Van Roy, B ^{[1
]}

Bertsekas, DP ^{[1
]}

Lee, Y ^{[1
]}

Tsitsiklis, JN ^{[1
]}

机构：

[1] Unica Technol Inc, Lincoln, MA 01773 USA

来源：

PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We discuss an application of neuro-dynamic programming techniques to the optimization of retailer inventory systems. We describe a specific case study involving a model with thirty-three state variables. The enormity of this state space renders classical algorithms of dynamic programming inapplicable. We compare the performance of solutions generated by neuro-dynamic programming algorithms to that delivered by optimized s-type ("order-up-to") policies. We are able to generate control strategies substantially superior, reducing inventory costs by approximately ten percent.

引用

页码：4052 / 4057

页数：6

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