Condition-based dynamic maintenance operations planning & grouping. Application to commercial heavy vehicles

K. Bouvard, S. Artus, Bérenguer, C. and V. Cocquempot

Reliability Engineering and System Safety, 2011, vol. 96, issue 6, 601-610

Abstract: This paper aims at presenting a method to optimize the maintenance planning for a commercial heavy vehicle. Such a vehicle may be considered as a multi-components system. Grouping maintenance operations related to each component reduces the global maintenance cost of the system. Classically, the optimization problem is solved using a priori reliability characteristics of components. Two types of methods may be used, i.e. static or dynamic methods. Static methods provide a fixed maintenance planning, whereas dynamic methods redefine the groups of maintenance operations at each decision time. Dynamic procedures can incorporate component information such as component states or detected failures. For deteriorating systems, reliability characteristics of each component may be estimated thanks to deterioration models and may be updated when a degradation measure is available. This additional information on degradation features allows to better follow the real state of each component and to improve the maintenance planning.

Keywords: Condition-based maintenance; Multi-component maintenance model; Maintenance grouping; Rolling horizon; Gamma process (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (51)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:96:y:2011:i:6:p:601-610

DOI: 10.1016/j.ress.2010.11.009

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