dc.creatorMar Ortíz, Julio
dc.date2015-08-17T11:34:56Z
dc.date2015-08-17T11:34:56Z
dc.date01/10/2010
dc.date.accessioned2018-03-16T18:27:29Z
dc.date.available2018-03-16T18:27:29Z
dc.identifierhttp://hdl.handle.net/11285/572547
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1211544
dc.descriptionThe third problem focuses on the study of robust and reconfigurable disassembly cell formation problems. This part of the research makes a significant contribution to the state of the art in Disassembly Systems Design and Cellular Manufacturing Systems for two reasons: first we consider two different approaches to deal with demand variability in disassembly systems: one reconfigurable and the other robust. In the reconfigurable approach the product demand varies form period to period in a deterministic manner; while in the robust approach the product demand varies in a random manner, however, this variation can be described in a number of probabilistic scenarios with a given occurrence probability. The problems are characterized and formulated as integer programming models. Second, given the complexity of the problems, we design a Variable Neighborhood Search (VNS) algorithm to efficiently solve them. The experimental analysis on a set of adapted (previously published) and randomly generated instances shows the good performance of the proposed algorithm.
dc.languageeng
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.rightsOpen Access
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectReverse Logistics Models
dc.subjectAlgorithms
dc.subjectOptimizing Waste
dc.subjectElectronic Equipment
dc.subjectRecovery Systems
dc.subjectIngeniería y Ciencias Aplicadas / Engineering & Applied Sciences
dc.titleReverse Logistics Models and Algorithms: Optimizing Waste of Electric and Electronic Equipment Recovery Systems
dc.typeTesis


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