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Finding Near-Optimal policies For Multi-Echelon Inventory Systems : A Branch and Bound Appproach

Haoxun Chen 1 Chen Wang 2
1 LOSI - Laboratoire d'Optimisation des Systèmes Industriels
ICD - Institut Charles Delaunay
2 PARIS - Programming distributed parallel systems for large scale numerical simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02565313
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Wednesday, May 6, 2020 - 12:49:19 PM
Last modification on : Friday, July 10, 2020 - 4:03:01 PM

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  • HAL Id : hal-02565313, version 1

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ENS-CACHAN | UNIV-RENNES1 | INRIA | UNIV-RENNES | INSA-GROUPE | ROSAS | UTT | IRISA | CNRS | UR1-UFR-ISTIC | INSA-RENNES

Citation

Haoxun Chen, Chen Wang. Finding Near-Optimal policies For Multi-Echelon Inventory Systems : A Branch and Bound Appproach. International Conference on global Supply Chain Management, Aug 2002, Beijing, China. ⟨hal-02565313⟩

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