Profit-oriented partial disassembly line design: dealing with hazardous parts and task processing times uncertainty
| Autor: | Mohand Lounes Bentaha, Robert J. Riggs, S. Jack Hu, Olga Battaïa, Alexandre Dolgui |
|---|---|
| Přispěvatelé: | Décision et Information pour les Systèmes de Production (DISP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Systèmes Logistiques et de Production (SLP ), Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), University of Michigan [Ann Arbor], University of Michigan System, Clemson University, Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université de Nantes - Faculté des Sciences et des Techniques, Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - Faculté des Sciences et des Techniques, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National des Sciences Appliquées de Lyon - INSA (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Clemson University (USA), Université Nantes Angers Le Mans - UNAM (FRANCE), Université de Lyon - UDL (FRANCE), University of Michigan - U-M (USA) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Product recovery
0209 industrial biotechnology Mathematical optimization Computer science Strategy and Management line design and balancing Monte Carlo method 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Profit (economics) 020901 industrial engineering & automation Hazardous waste sample average approximation Sample average approximation uncertainty Metaheuristic 021103 operations research product recovery Monte Carlo sampling Uncertainty Workload L-shaped algorithm [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] disassembly Stochastic programming Probability distribution Disassembly Line design and balancing Random variable Recherche opérationnelle |
| Zdroj: | International Journal of Production Research International Journal of Production Research, Taylor & Francis, 2018, Design for manufacturing and assembly/disassembly: Joint design of products and production systems, 56 (24), pp.7220-7242. ⟨10.1080/00207543.2017.1418987⟩ |
| ISSN: | 0020-7543 1366-588X |
| DOI: | 10.1080/00207543.2017.1418987⟩ |
| Popis: | International audience; This paper addresses the problem of profit-oriented disassembly line design and balancing considering partial disassembly, presence of hazardous parts and uncertainty of task processing times. Few papers have studied the stochastic disassembly line balancing problem and existing approaches have focused on heuristic and metaheuristic methods. Most existing work has concentrated on complete disassembly where task times are assumed to be normal random variables and where AND/OR graphs are not considered. The objective of this paper is the design of a serial line that obtains the maximum revenue and then balances the workload under uncertainty. The processing time of a disassembly task is assumed to be a random variable with any known probability distribution. An AND/OR graph is used to model the precedence relationships among tasks. Stochastic programming models and exact-based solution approaches combining the L-shaped algorithm and Monte Carlo sampling techniques are proposed. The relevance and applicability of the proposed models and solution methods are shown by solving efficiently a set of disassembly problem instances from the literature. |
| Databáze: | OpenAIRE |
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