InforLorV4, Hal, Corpus, bibRecord, 000272

A Lagrangian relaxation approach for stochastic distribution network design

Identifieur interne : 000272 ( Hal/Corpus ); précédent : 000271; suivant : 000273

A Lagrangian relaxation approach for stochastic distribution network design

Auteurs : Guy Aime Tanonkou ; Lyes Benyoucef ; Xiaolan Xie

Source :

RBID : Hal:inria-00089616

English descriptors

mix :
- Lagrangian relaxation, Supply chain design, facility location, optimization.

Abstract

This paper addresses the design of a distribution network in which a single supplier ships products to a set of retailers facing random demands via a set of distribution centers. Distribution centers are not known a priori and are to be located at a set of retailer locations. Decisions include: retailer locations to be selected as distribution centers, assignment of retailers to the distribution centers, and inventory to keep at each distribution center. The goal is to minimize the total location, shipment, and inventory costs, while ensuring a given retailer service level. A Lagrangian relaxation heuristic is proposed. Computation results show the effectiveness of the proposed heuristic and the duality gap is less than 1.5% in all tested problem instances.

Url:

https://hal.inria.fr/inria-00089616

Links to Exploration step

Hal:inria-00089616

Le document en format XML

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<front><div type="abstract" xml:lang="en">This paper addresses the design of a distribution network in which a single supplier ships products to a set of retailers facing random demands via a set of distribution centers. Distribution centers are not known a priori and are to be located at a set of retailer locations. Decisions include: retailer locations to be selected as distribution centers, assignment of retailers to the distribution centers, and inventory to keep at each distribution center. The goal is to minimize the total location, shipment, and inventory costs, while ensuring a given retailer service level. A Lagrangian relaxation heuristic is proposed. Computation results show the effectiveness of the proposed heuristic and the duality gap is less than 1.5% in all tested problem instances.</div>
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<abstract xml:lang="en">This paper addresses the design of a distribution network in which a single supplier ships products to a set of retailers facing random demands via a set of distribution centers. Distribution centers are not known a priori and are to be located at a set of retailer locations. Decisions include: retailer locations to be selected as distribution centers, assignment of retailers to the distribution centers, and inventory to keep at each distribution center. The goal is to minimize the total location, shipment, and inventory costs, while ensuring a given retailer service level. A Lagrangian relaxation heuristic is proposed. Computation results show the effectiveness of the proposed heuristic and the duality gap is less than 1.5% in all tested problem instances.</abstract>
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A Lagrangian relaxation approach for stochastic distribution network design

A Lagrangian relaxation approach for stochastic distribution network design

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