Decision-making for multi-criteria optimization of process planning
| Autor: | Anne-Lise Antomarchi, Emmanuel Duc, Laurent Delolme, Séverine Durieux |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science Process (engineering) Mechanical Engineering Analytic hierarchy process 02 engineering and technology Industrial engineering Multi-objective optimization Industrial and Manufacturing Engineering 020901 industrial engineering & automation Machining Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing General Materials Science Representation (mathematics) Social choice theory Productivity |
| Zdroj: | Mechanics & Industry. 20:806 |
| ISSN: | 2257-7750 2257-7777 |
| DOI: | 10.1051/meca/2020040 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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