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Article Dans Une Revue Mechanics & Industry Année : 2019

Mechanics & Industry Selected scientific topics in recent applied engineering -20 Years of the 'French Association of Mechanics -AFM' Decision-making for multi-criteria optimization of process planning

Laurent Delolme
  • Fonction : Auteur
Séverine Durieux
Emmanuel Duc

Résumé

The objective of this work is to develop a methodology for the automatic generation of optimised and innovative machining process planning that enable aeronautical subcontractors to face current productivity and competitiveness issues. A four-step methodology is proposed, allowing the user to obtain optimised machining ranges that respect his know-how and experience and introduce innovation. This methodology is based on a representation of the decisional behaviour of the user in a given situation as well as in the face of the risk of industrialisation and broadens the formalisation of the performance of a process by taking into account other performance criteria other than machining time or overall cost. A genetic algorithm is used to generate optimized process planning. An AHP method is used to represent the decision-making process. The methodology presents the best processes generated and the use of social choice theory enables it to target the most efficient ranges to be implemented, by integrating a risk criterion to the industrialization.

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Autre
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Dates et versions

hal-02953285 , version 1 (30-09-2020)

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Laurent Delolme, Anne-Lise Antomarchi, Séverine Durieux, Emmanuel Duc. Mechanics & Industry Selected scientific topics in recent applied engineering -20 Years of the 'French Association of Mechanics -AFM' Decision-making for multi-criteria optimization of process planning. Mechanics & Industry, 2019, Selected scientific topics in recent applied engineering – 20 Years of the ‘French Association of Mechanics – AFM’, 20 (8), pp.806. ⟨10.1051/meca/2020040⟩. ⟨hal-02953285⟩
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