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modèles et méthodes pour le génération de processus de fabrication reconfigurables

Abstract : Conventional manufacturing process planning approaches are inefficient to handle the process planning complexity induced by product variety and manufacturing dynamics. Reconfigurable process planning (RPP) is an emerging CAPP approach targeting to the generation of process plans for a product/part family. This thesis aims to give major contributions to the representation models and generation methods to support reconfigurable process planning at two granularity levels: product family and part family. The proposed approaches for RPP are compatible with an extended concept of product/part family which is defined by using the concept of “domain”. A feature-based product/part variety model is developed to represent the required information for RPP by using modular and platform-based techniques. Mathematical models and graph-based representation models are proposed to describe the reconfigurable process plan at two granularity levels. Based on the representation models, the generation methods and algorithms are then developed for RPP. In addition, a global framework is proposed to describe how the proposed RPP models and methods work together to handle the product/part variety and manufacturing dynamics. To test the feasibility of the proposed models and methods, a gear pump family and an oil pump body family are used as illustrative examples throughout this thesis.
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Submitted on : Thursday, March 30, 2017 - 12:15:11 PM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM


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  • HAL Id : tel-01498623, version 1


Qing Xia. modèles et méthodes pour le génération de processus de fabrication reconfigurables. Autre. Ecole nationale supérieure d'arts et métiers - ENSAM, 2017. Français. ⟨NNT : 2017ENAM0004⟩. ⟨tel-01498623⟩



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