An analytical approach for performance evaluation and optimization of a two-stage production-distribution system

Jie Li 1, 2 Alexandre Sava 1, 2 Xiaolan Xie 3, 4, 5
1 LGIPM - Laboratoire de Génie Industriel, de Production et de Maintenance
2 COSTEAM - Optimal and secure management of manufacturing systems
Inria Nancy - Grand Est, UPVM - Université Paul Verlaine - Metz
3 CIS-ENSMSE - Centre Ingénierie et Santé
4 GIH-ENSMSE - Département Génie Industriel Hospitalier
5 IFRESIS-ENSMSE - Institut Fédératif de Recherche en Sciences et Ingénierie de la Santé
Abstract : This paper addresses the performance evaluation and optimization of a production-distribution system composed of a warehouse supplied by a manufacturing plant with finite capacity. Customer orders arrive randomly with random order size. Transportation time from plant to warehouse is fixed. We propose an analytical approach that uses only the first two moments of random variables to evaluate the inventory cost and demand fill rate. A gradient-based method is then proposed to minimize the average total inventory cost subject to fill rate requirement. Numerical comparisons with simulation show that the analytical approach is very efficient.
Keywords : Production-distribution systems Batch orders Performance evaluation Analytical approach
Type de document :
Article dans une revue
International Journal of Production Research, Taylor & Francis, 2009, 47 (2), pp.403-414. 〈10.1080/00207540802426284〉
Liste complète des métadonnées
https://hal-emse.ccsd.cnrs.fr/emse-00447502
Contributeur : Andrée-Aimée Toucas <>
Soumis le : vendredi 15 janvier 2010 - 11:01:15
Dernière modification le : mardi 23 octobre 2018 - 14:36:08

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INRIA | CIS-ENSMSE | GIH-ENSMSE | EMSE | IFRESIS-ENSMSE | LGIPM | UNIV-LORRAINE

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Jie Li, Alexandre Sava, Xiaolan Xie. An analytical approach for performance evaluation and optimization of a two-stage production-distribution system. International Journal of Production Research, Taylor & Francis, 2009, 47 (2), pp.403-414. 〈10.1080/00207540802426284〉. 〈emse-00447502〉

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