A polynomial algorithm for the MPS parameterization under uncertainty

Abstract : The aim of this paper is to study the supply planning of assembly systems under lead times uncertainty. The target is to minimize the sum of the average holding cost for the components and the setup cost, while keeping a desired service level. A further analysis of the Periodic Ordering Quantity policy (POQ) is given. The decision variables are the planned lead times of components and the periodicity of the POQ policy. A mathematical method, which gives the optimal values for these parameters, is given.
Type de document :
Communication dans un congrès
15th IFAC World Congress, Jul 2002, Barcelone, Spain. p. 19-24, 2003, 〈10.3182/20020721-6-ES-1901.00491〉
Liste complète des métadonnées

https://hal-emse.ccsd.cnrs.fr/emse-00708728
Contributeur : Florent Breuil <>
Soumis le : vendredi 15 juin 2012 - 15:45:24
Dernière modification le : mardi 27 février 2018 - 14:40:03

Identifiants

Citation

Mohamed Aly Ould Louly, Alexandre Dolgui. A polynomial algorithm for the MPS parameterization under uncertainty. 15th IFAC World Congress, Jul 2002, Barcelone, Spain. p. 19-24, 2003, 〈10.3182/20020721-6-ES-1901.00491〉. 〈emse-00708728〉

Partager

Métriques

Consultations de la notice

108