scholarly journals Reconfigurable machining process planning for part variety in new manufacturing paradigms: Definitions, models and framework

2018 ◽  
Vol 115 ◽  
pp. 206-219 ◽  
Author(s):  
Qing Xia ◽  
Alain Etienne ◽  
Jean-yves Dantan ◽  
Ali Siadat
2019 ◽  
Vol 20 (8) ◽  
pp. 806 ◽  
Author(s):  
Laurent Delolme ◽  
Anne-Lise Antomarchi ◽  
Séverine Durieux ◽  
Emmanuel Duc

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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