A scenario analysis of a location problem with uncertain demand

Abstract : This paper considers the design of a distribution network composed of a single supplier serving a set of retailers through a set of Distribution Centres (DCs) to locate. The number and location of DCs are decision variables and they are chosen from the set of retailer locations. Each retailer faces a random demand and the supplier lead-time is constant. Furthermore, some parameters are random and described by scenarios, each with a specified probability of occurrence. The problem is formulated as a two-stage non-linear discrete stochastic optimisation problem. At the first stage, we decide on the DCs location and at the second stage, we assign retailers to located DCs with respect to a given scenario. The goal is to minimise the expected total cost resulted from the DCs location, transportation, working inventory and safety stocks costs. A Lagrangian relaxation based approach is proposed to generate efficient solutions. Computational results are presented and analysed showing the effectiveness of the proposed approach.
Type de document :
Article dans une revue
International Journal of Computer Applications in Technology, Inderscience, 2008, 32 (4), pp.290-297
Liste complète des métadonnées

https://hal-emse.ccsd.cnrs.fr/emse-00497841
Contributeur : Andrée-Aimée Toucas <>
Soumis le : mardi 6 juillet 2010 - 09:24:45
Dernière modification le : mardi 23 octobre 2018 - 14:36:08

Identifiants

  • HAL Id : emse-00497841, version 1

Citation

Guy Aimé Tanonkou, Lyes Benyoucef, Xiaolan Xie. A scenario analysis of a location problem with uncertain demand. International Journal of Computer Applications in Technology, Inderscience, 2008, 32 (4), pp.290-297. 〈emse-00497841〉

Partager

Métriques

Consultations de la notice

215