An Optimal Production/Maintenance Planning Under Stochastic Random Demand, Service level and Failure rate

Zied Hajjej 1 Sofiène Dellagi 1 Nidahl Rezg 1
1 COSTEAM - Optimal and secure management of manufacturing systems
Inria Nancy - Grand Est, UPVM - Université Paul Verlaine - Metz
Abstract : This paper deals the combination between production and maintenance plan for a manufacturing system satisfying a random demand. A jointly optimization is made in order to establish an optimal production planning and scheduling maintenance strategy showing the machine degradation. The key of this study is to consider the influence of the production rate on the degradation degree. We prove simultaneously, with a constrained stochastic production-maintenance planning problem under hypotheses of inventory and failure rate variables, an optimal production plan and maintenance scheduling which minimizes the average total holding, production and maintenance costs. A numerical example is studied in order to apply the developed approach.
Type de document :
Communication dans un congrès
5th IEEE Conference on automation science and engineering - CASE'09, Aug 2009, Bangalore, India. IEEE, pp.292-297, 2009, CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Liste complète des métadonnées
https://hal.inria.fr/inria-00600922
Contributeur : Ist Inria Nancy Grand Est <>
Soumis le : jeudi 16 juin 2011 - 10:32:17
Dernière modification le : mardi 27 février 2018 - 15:44:02

Identifiants

  • HAL Id : inria-00600922, version 1

Collections

INRIA | LGIPM | TDS-MACS | UNIV-LORRAINE

Citation

Zied Hajjej, Sofiène Dellagi, Nidahl Rezg. An Optimal Production/Maintenance Planning Under Stochastic Random Demand, Service level and Failure rate. 5th IEEE Conference on automation science and engineering - CASE'09, Aug 2009, Bangalore, India. IEEE, pp.292-297, 2009, CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering. 〈inria-00600922〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

101

Contact


archive-ouverte@inria.fr