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Joint production and setup control policies: an extensive study addressing implementation issues via quantitative and qualitative criteria

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Assid, M., Gharbi, Ali et Hajji, A.. 2014. « Joint production and setup control policies: an extensive study addressing implementation issues via quantitative and qualitative criteria ». International Journal of Advanced Manufacturing Technology, vol. 72, nº 5-8. pp. 809-826.
Compte des citations dans Scopus : 11.

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Abstract

This paper addresses the production and setup control problem in unreliable multi-products manufacturing system. Several decision criteria are considered in order to conduct an exhaustive comparative study of the two most complete control policies in the literature. The objective is to propose a production and setup control policy for the system under review. The first part of this work consists in analyzing the effect of the system parameters variation on the difference between the total costs of the two policies studied. The best control policy in term of cost will then be determined. In the second part, two keys performance indicator (KPI): the cost and the customer satisfaction rate are simultaneously considered. The goal is to optimize the parameters of the policies studied, which minimize the total cost incurred while respecting the customer satisfaction constraint. A discussion on the best control policy is conducted based on the cost and the customer satisfaction. An experimental resolution approach is used. It integrates combined discrete-continuous simulation models with statistical techniques of optimization such as design of experiments, analysis of variance and response surface methodology. Finally, a discussion is conducted on the effects of other quantitative and qualitative criteria in order to determine the best control policy and to reach the best concerns of the company’s decision makers. These decision criteria are generally related to the storage space required constraint, the setups complexity, the implementation issue, the complexity of the optimal control problem.

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Gharbi, Ali
Affiliation: Génie de la production automatisée
Date Deposited: 10 Apr 2014 20:59
Last Modified: 11 Dec 2017 18:45
URI: https://espace2.etsmtl.ca/id/eprint/7590

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