Titre du document / Document title

A two-stage recourse model for production planning with stochastic demand

Auteur(s) / Author(s)

LAI K. K. ^{(1 2)} ; LEUNG Stephen C. H. ⁽¹⁾ ; YUE WU ⁽³⁾ ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

⁽¹⁾ Department of Management Sciences, City University of Hong Kong, HONG-KONG
⁽²⁾ College of Business Administration, Hunan University, CHINE
⁽³⁾ School of Management, University of Southampton, Southampton, ROYAUME-UNI

Résumé / Abstract

Production planning problems play a vital role in the supply chain management. The methodology of production planning problem can provide the quantity of production and the workforce level at each production plant to fulfil market demand. This paper develops a stochastic programming model with additional constraints. A set of data from a multinational lingerie company in Hong Kong is used to demonstrate the robustness and effectiveness of the proposed model.

Revue / Journal Title

Lecture notes in computer science   ISSN 0302-9743 

Source / Source

Congrès
Computational science and its applications :   ( Singapore, 9-12 May 2005 )
ICCSA 2005 : international conference on computational science and its applications, Singapore , SINGAPOUR (09/05/2005)
2005  , vol. 3483[Note(s) : LXV, 1234 ; 1316 ; 1340 ; 1362 p., ] (9 ref.) ISBN 3-540-25860-4 ; 3-540-25861-2 ; 3-540-25862-0 ; 3-540-25863-9 ;  Illustration : Illustration ;

Langue / Language

Anglais

Editeur / Publisher

Springer, Berlin, ALLEMAGNE  (1973) (Revue)
Springer, Berlin, ALLEMAGNE  (2005) (Monographie)

Mots-clés anglais / English Keywords

Robustness ; Constraint satisfaction ; Stochastic programming ; Probabilistic approach ; Modeling ; Markets ; Plant production ; Logistics ; Production planning ;

Mots-clés français / French Keywords

Robustesse ; Satisfaction contrainte ; Programmation stochastique ; Approche probabiliste ; Modélisation ; Marché ; Production végétale ; Logistique ; Planification production ;

Mots-clés espagnols / Spanish Keywords

Robustez ; Satisfaccion restricción ; Programación estocástica ; Enfoque probabilista ; Modelización ; Mercado ; Produccíon vegetal ; Logística ; Programación producción ;

Localisation / Location

INIST-CNRS, Cote INIST : 16343, 35400012449618.4330