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Multiobjective optimization in an unreliable failure-prone manufacturing system

Boulet, J. F. et Gharbi, Ali et Kenné, Jean-Pierre. 2009. « Multiobjective optimization in an unreliable failure-prone manufacturing system ». Journal of Quality in Maintenance Engineering, vol. 15, nº 4. p. 397-411.
Compte des citations dans Scopus : 11.


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Purpose – This article considers a corrective and preventive maintenance model with a view to both minimizing cost and maximizing system availability. The model examined is based on a m identical machine system subject to unpredictable breakdown and repair, and the maintenance strategy used is based on the existing block-replacement policy, which consists in replacing components upon failure or preventively, at scheduled intervals (T). Spare part inventory management is based on the (S, Q) model, whereby an order is placed when the replacement stock level drops below a given safety threshold level (S). At that time, a replacement part quantity (Q) is ordered, and is received after a stochastic lead time (τ). Design/methodology/approach – The experimental multiobjective proposed approach combines a simulation model and a statistical method (desirability approach, experimental design, response surface methodology and variance analysis (ANOVA)) to determine the best system parameters. The desirability function is used to convert a multiresponse problem into a maximization problem with a single aggregate measure. Finding – The proposed model jointly minimizes the overall maintenance cost and maximizes system availability using a multiobjective optimization desirability function. Practical implication – The multiobjective model can be used in a real manufacturing environment to help business decision makers determine the best compromise system parameters and adjust said parameters to obtain desired response variables (overall production cost and system availability). Originality/value – The proposed model allows the simultaneous optimization of two response variables, and determines the best system parameter compromise between the system cost minimization and the system availability maximization.

Type de document: Article publié dans une revue, révisé par les pairs
Gharbi, Ali
Kenné, Jean-Pierre
Affiliation: Génie de la production automatisée, Génie mécanique
Date de dépôt: 13 juin 2012 18:15
Dernière modification: 14 mars 2016 18:06

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