Contribution à l'optimisation des plans d'exploitation et de maintenance, selon une approche basée sur le pronostic : application au domaine naval

Abstract : The present research work aims to develop a decision-making tool based on prognosis. Indeed, in the naval domain, when a navy ship leaves the dock, it should experience a set of missions within a finite time horizon. The business plan consist to perform as well as to schedule the overall missions. As a navy ship can achieve different type of missions (diplomatic, oceanographic, etc.), the system degradations varie according to both operational and environmental conditions. Therefore, the business plan consist on choosing among all possible missions those whose the cumulative duration does not exceed the finite time horizon. Such missions should be then scheduled and performed. On the other hand, our work deals with different maintenance policies such as systematic, sporadic, periodic and sequential. Generally, the maintenance actions are of two types, namely minimal corrective and inperfect preventive. Based on some assumptions (finite time horizon, dynamic failure law), the optimization of maintenance policy will be carried out using exact numerical procedures or meta-heuristic. To solve the joint optimization of business and maintenance plans, we use the integration of two types of meta-heuristic. The obtained solution should define the optimal business and maintenance plans given the history of missions performed, the experiences of other navy ships but also of all possible generic missions
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Jérémie Schutz. Contribution à l'optimisation des plans d'exploitation et de maintenance, selon une approche basée sur le pronostic : application au domaine naval. Autre. Université Paul Verlaine - Metz, 2009. Français. ⟨NNT : 2009METZ033S⟩. ⟨tel-01752658⟩

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