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Stratégies optimales de maintenance de systèmes multi-composants sujets à des défaillances aléatoires

Abstract : This thesis focuses on the development, the evaluation and the optimization of new maintenance policies for multi-component systems. This approach is justified by the fact that contrarily to single component systems which have been extensively treated in the literature on maintenance strategies, multi-component systems with economic and stochastic dependence have been much less studied due to the difficulty in modeling such kind of dependence. In this context of studying multi-component systems maintenance, this thesis is made of three independent parts. The first part focuses on a particular type of equipment whose state can only be known following inspection. Such equipment made of two components in series is considered. A new nearly optimal condition based maintenance policy based on sequential inspections of both components is proposed. In the second part, we consider complex multi-component systems in which the components are subject to random local and/or propagated failures, with or without isolation effect. A selective maintenance strategy is applied to such systems. In the third and last part, the concept of multi-component systems is extended to manufacturing systems with multiple machines. In this context, this part focuses on the development of an integrated production-maintenance policy for a production system consisting of two machines in parallel in presence of a form of stochastic dependency between them
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Submitted on : Thursday, March 29, 2018 - 12:50:45 PM
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Ghofrane Maaroufi. Stratégies optimales de maintenance de systèmes multi-composants sujets à des défaillances aléatoires. Autre. Université de Lorraine, 2013. Français. ⟨NNT : 2013LORR0278⟩. ⟨tel-01750623⟩



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