A simulation-based optimization approach for an integrated production and quality control model

Bouslah, B., Pellerin, R. et Gharbi, A.. 2012. « A simulation-based optimization approach for an integrated production and quality control model ». In Proceedings of the 4th International Conference on Information Systems, Logistics and Supply Chain : Creative Logistics for an Uncertain World - ILS 2012 (Québec, QC, Canada, Aug. 26-29, 2012)

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Résumé

This article presents an integrated production and quality control model for an unreliable and imperfect batch manufacturing system. The production is controlled by a hedging point policy, while, the quality control is performed by a lot-by-lot double acceptance sampling plan by attributes. The decision variables of this model are the production lot sizing and the hedging level. The purpose of this work is to develop and validate a simulation model to fairly represent the dynamic and stochastic aspects of the system under study. Then, a simulation optimization approach based on the response surface methodology is used to optimize the decision variables when the failure and repair times and the percentage of nonconforming items produced follow general probability distributions.

Type de document:	Compte rendu de conférence
Professeur:	Professeur Gharbi, Ali
Affiliation:	Génie de la production automatisée
Date de dépôt:	16 févr. 2016 17:10
Dernière modification:	11 mars 2016 16:02
URI:	https://espace2.etsmtl.ca/id/eprint/12320

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