Dealing with uncertainty in disassembly line design

Abstract : A disassembly process is usually characterized by a high level of uncertainty due to the quality of End-of-Life products. This paper presents an efficient approach for designing disassembly lines with the objective to maximize the line profit. Task times are assumed to be random variables with known probability distributions. An AND/OR graph is used to model the precedence relationships among tasks and subassemblies and the disassembly alternatives. A Monte Carlo sampling based exact solution method is developed to deal with uncertainties. Results of experiments on problem instances are presented.
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Article dans une revue
CIRP Annals - Manufacturing Technology, Elsevier, 2014, Volume 63 (Issue 1), pp.Pages 21-24. 〈10.1016/j.cirp.2014.03.004〉
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https://hal-emse.ccsd.cnrs.fr/emse-00978385
Contributeur : Florent Breuil <>
Soumis le : lundi 14 avril 2014 - 10:31:45
Dernière modification le : dimanche 28 janvier 2018 - 15:22:05

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Mohand Lounes Bentaha, Olga Battaïa, Alexandre Dolgui, S. Jack Hu. Dealing with uncertainty in disassembly line design. CIRP Annals - Manufacturing Technology, Elsevier, 2014, Volume 63 (Issue 1), pp.Pages 21-24. 〈10.1016/j.cirp.2014.03.004〉. 〈emse-00978385〉

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