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Inspection and maintenance planning: an application of semi-Markov decision processes

Abstract : In this paper, we consider a system which deteriorates stochastically from one time unit to another. The state of the system, which is a continuous random variable, can be observed only by inspection. The goal of this paper is to derive a predictive maintenance policy which indicates, at each inspection and according to the observed value, whether a preventive maintenance is necessary and when the next inspection should be done. The objective is to minimize the long-run average cost incurred by inspections, preventive maintenance and unexpected breakdowns. The problem is modelled by a semi-Markov decision process. Analytical properties are derived, and based on these properties, numerical methods are constructed to compute an optimal policy.
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https://hal-utt.archives-ouvertes.fr/hal-02319948
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Friday, October 18, 2019 - 1:24:03 PM
Last modification on : Saturday, October 19, 2019 - 1:30:49 AM

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Christophe Bérenguer, Chengbin Chu, Antoine Grall. Inspection and maintenance planning: an application of semi-Markov decision processes. Journal of Intelligent Manufacturing, Springer Verlag (Germany), 1997, 8 (5), pp.467-476. ⟨10.1023/A:1018570518804⟩. ⟨hal-02319948⟩

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