A multicriteria optimization method for process planning

The goal of this work is to develop a methodology for the automatic generation of optimized and innovative machining process planning that allow aeronautical subcontractors to deal with current productivity and competitiveness issues. A four-step methodology is proposed, allowing the user to obtain optimized machining process planning respecting his know-how and experience and introducing innovation. This methodology is based on a representation of the decision-making behavior of the user in a given situation as well as on the risk to industrialization and complete the formalization of the process planning performance by taking into account performance criteria other than the machining time or the overall cost. A genetic algorithm is used to generate a large set of various operable processes. An AHP method is used to model the decision process planning and choose the optimal process planning. The methodology presents the best process planning generated and the use of social choice theory allows it to target the most efficient process planning to implement, by integrating a risk criterion to industrialization. Mots clefs : Mots clefs Process planning, multicriteria optimization, Ga algorithm, AHP, CAPP 24 Congrès Français de Mécanique Brest, 26 au 30 Août 2019

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