Algorithmes évolutionnaires et méthodes approchées multicritères pour la génération des processus de fabrication dans un environnement reconfigurable

Abstract : The uncertain context of current markets has contributed to the development of manufacturing systems, resulting in systems with different features and principles, trying to meet the changing market demands. Reconfigurable manufacturing system (RMS) is a recent class of systems where machines, machine components and the handling system can be added, modified, deleted or exchanged according to the production needs. RMS combines the high throughput of dedicated manufacturing systems with the customizability of flexible systems. The main component of an RMS is the reconfigurable machine (RMT: Reconfigurable Machine Tool) which has a structure that allows reconfiguration. We focus in this work on CAPP (Computer-Aided Process Planning) to generate effective the process plans in an RMS that take advantage of the high degree of RMT reconfigurability Three problems associated with the function process planning are discussed: (1) the generation of process plans for a single-unit case, where we adapted multi-criteria optimization techniques (NSGA-II, AMOSA) (2) the generation of process plans in the multi-unit case, where we developed simulation based optimization technique, and (3) the integration of process planning and scheduling functions, where we developed a new heuristic aiming to achieve this integration. All the proposed approaches have been validated by numerical experiments, demonstrating their applicability and effectiveness
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Aberrahmane Bensmaïne. Algorithmes évolutionnaires et méthodes approchées multicritères pour la génération des processus de fabrication dans un environnement reconfigurable. Autre. Université de Lorraine, 2013. Français. ⟨NNT : 2013LORR0222⟩. ⟨tel-01750518⟩

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