Prise en compte de l’état des produits pour la planification de leur désassemblage
Autor: | Mohand Lounes Bentaha, Pascale Marangé, Alexandre Voisin, Alexandre Dolgui, Olga Battaïa |
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Přispěvatelé: | Ecole des Mines de Nantes (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Université de Lorraine (FRANCE) |
Rok vydání: | 2016 |
Předmět: |
Mathematical optimization
Computer science Uncertainty 02 engineering and technology 021001 nanoscience & nanotechnology Industrial and Manufacturing Engineering Computer Science Applications Truncated distribution Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Revenue 020201 artificial intelligence & image processing Disassembly Partial disassembly Product quality Electrical and Electronic Engineering 0210 nano-technology Recherche opérationnelle Hardware_REGISTER-TRANSFER-LEVELIMPLEMENTATION |
Zdroj: | Journal Européen des Systèmes Automatisés. 49:579-605 |
ISSN: | 1269-6935 |
DOI: | 10.3166/jesa.49.579-605 |
Popis: | This paper adresses the problem of disassembly process planning taking into account the quality or states of the product to be disassembled. We propose an approach which is able to return the best disassembly level for a product considering the disassembly cost and the state of the product and/or the states of its subassemblies or components. The state of the product is represented using the concept of « Potentiel d’Utilisation Residuel (PUR) » which is assumed to be a Gaussian random variable with known truncated distribution. A stochastic program is proposed to model the problem with the objective of maximizing the disassembly process profit. The latter is calculated as the difference between the positive revenue generated by recovered parts and the costs of the disassembly tasks. The revenue of a recovered part is a function of PUR. The developed approach is tested on two example case studies from the literature to analyze the impact of uncertain product quality on its disassembly process planning. |
Databáze: | OpenAIRE |
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