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 in | Proceedings of the 36th IEEE Conference on Decision and Control Vol. 4; pp. 4052 - 4057 vol.4 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1997
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Subjects | |
Online Access | Get full text |
ISBN | 0780341872 9780780341876 |
ISSN | 0191-2216 |
DOI | 10.1109/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. |
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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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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 |
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