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
收藏
页码：4052 / 4057
页数：6
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