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Contribution à l'optimisation des stratégies de maintenance sélective pour les systèmes complexes orientés missions

Abstract : The main objective of this thesis is to contribute to selective maintenance optimization's strategies for complex mission-oriented systems. Selective maintenance is a maintenance strategy designed for specific multi-component systems operating a series of alternating missions and scheduled breaks. This policy aims at selecting the components and the level of imperfect maintenance in order to optimize the performance of the system under the constraints of company's limited resources. After identifying the limitations of existing works in the literature, this research project is involved in the development of new optimization models for selective maintenance strategies taking into account maintenance workforce resources and different planning horizons. In order to model real operating conditions of such systems in the industrial environment, maintenance is performed by repairmen with different skills and can also be outsourced. These different skills reflect the degree of expertise of the repairers and are modeled by different labor costs and repair times. The proposed models allow to highlight the correlation between selective maintenance decision-making and the assignment of maintenance tasks to repairmen. The models formulated are developed with the objective of maximizing performance criteria such as reliability or minimizing the costs generated, and consider different levels of imperfect maintenance. Some of them take into account a planning horizon of several successive missions, in order to obtain a joint optimization of resources over a larger horizon. Efficient resolution methods, exact and approximate, are developed to solve the proposed models.
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Submitted on : Thursday, March 17, 2022 - 5:08:10 PM
Last modification on : Monday, March 21, 2022 - 4:48:39 PM

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Kenza Chaabane. Contribution à l'optimisation des stratégies de maintenance sélective pour les systèmes complexes orientés missions. Automatique / Robotique. Université de Lorraine, 2021. Français. ⟨NNT : 2021LORR0169⟩. ⟨tel-03612381⟩



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