A neuro-dynamic programming approach to retailer inventory management

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 inapplicabl...

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Published inProceedings of the 36th IEEE Conference on Decision and Control Vol. 4; pp. 4052 - 4057 vol.4
Main Authors Van Roy, B., Bertsekas, D.P., Lee, Y., Tsitsiklis, J.N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
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ISBN0780341872
9780780341876
ISSN0191-2216
DOI10.1109/CDC.1997.652501

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Abstract 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.
AbstractList 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.
Author Tsitsiklis, J.N.
Bertsekas, D.P.
Lee, Y.
Van Roy, B.
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Snippet We discuss an application of neuro-dynamic programming techniques to the optimization of retailer inventory systems. We describe a specific case study...
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StartPage 4052
SubjectTerms Approximation algorithms
Artificial intelligence
Artificial neural networks
Buffer storage
Computational modeling
Costs
Dynamic programming
Inventory management
Laboratories
Transportation
Title A neuro-dynamic programming approach to retailer inventory management
URI https://ieeexplore.ieee.org/document/652501
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