Reverse Logistics Models and Algorithms: Optimizing Waste of Electric and Electronic Equipment Recovery Systems

Hdl Handle:
http://hdl.handle.net/11285/572547
Title:
Reverse Logistics Models and Algorithms: Optimizing Waste of Electric and Electronic Equipment Recovery Systems
Authors:
Mar Ortíz, Julio
Issue Date:
01/10/2010
Abstract:
The 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.
Keywords:
Reverse Logistics Models; Algorithms; Optimizing Waste; Electronic Equipment; Recovery Systems
Degree Program:
Programa de Graduados en Ciencias de la Ingeniería
Degree Level:
Doctor of Philosophy in Engineering with Major in Industrial Engineering
School:
División de Ingeniería y Arquitectura
Campus Program:
Campus Monterrey
Discipline:
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
Appears in Collections:
Ciencias Exactas

Full metadata record

DC FieldValue Language
dc.contributor.authorMar Ortíz, Julioes
dc.date.accessioned2015-08-17T11:34:56Zen
dc.date.available2015-08-17T11:34:56Zen
dc.date.issued01/10/2010-
dc.identifier.urihttp://hdl.handle.net/11285/572547en
dc.description.abstractThe 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.en
dc.language.isoenen
dc.rightsOpen Accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleReverse Logistics Models and Algorithms: Optimizing Waste of Electric and Electronic Equipment Recovery Systemsen
dc.typeTesis de Doctoradoes
thesis.degree.grantorInstituto Tecnológico y de Estudios Superiores de Monterreyes
thesis.degree.levelDoctor of Philosophy in Engineering with Major in Industrial Engineeringen
thesis.degree.disciplineDivisión de Ingeniería y Arquitecturaes
thesis.degree.namePrograma de Graduados en Ciencias de la Ingenieríaes
dc.subject.keywordReverse Logistics Modelsen
dc.subject.keywordAlgorithmsen
dc.subject.keywordOptimizing Wasteen
dc.subject.keywordElectronic Equipmenten
dc.subject.keywordRecovery Systemsen
thesis.degree.programCampus Monterreyes
dc.subject.disciplineIngeniería y Ciencias Aplicadas / Engineering & Applied Scienceses
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