A hierarchical multiobjective problem for green logistics

Throughout all the extension of this thesis a situation where a distribution company and a manufacturer company work within a supply chain in a hierarchically manner. Each one of them has to optimize their own operations to minimize costs in the case of the manufacturer company and maximize profit a...

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Detalles Bibliográficos
Autor: Salazar Zendeja, Luis Alberto
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2017
País:México
Institución:Instituto Tecnológico y de Estudios Superiores de Monterrey
Repositorio:Repositorio Institucional del Tecnológico de Monterrey
Idioma:inglés
OAI Identifier:oai:repositorio.tec.mx:11285/630023
Acceso en línea:http://hdl.handle.net/11285/630023
Access Level:acceso abierto
Palabra clave:Bilevel programming
Multiobjective optimization
GRASP metaheuristic
VND
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
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spelling A hierarchical multiobjective problem for green logisticsSalazar Zendeja, Luis AlbertoBilevel programmingMultiobjective optimizationGRASP metaheuristicVNDIngeniería y Ciencias Aplicadas / Engineering & Applied SciencesThroughout all the extension of this thesis a situation where a distribution company and a manufacturer company work within a supply chain in a hierarchically manner. Each one of them has to optimize their own operations to minimize costs in the case of the manufacturer company and maximize profit as well as minimize CO2 emissions for the distribution company. A green logistic approach is also desired in this research, which is one of the reasons that a minimization of greenhouse gas emissions is considered. The resulting formulation of the problem is a multiobjective bilevel model, therefore a GRASP metaheuristic within a weighted sum method was developed to tackle this problem. In addition, a second simpler methodology which consists to reformulate the problem only as a selection of the customers that will be visited was used. In the latter methodology, the specific modeling known as the Multiple Choice Model was implemented to remove the bilevel aspect of the situation resulting in an easier model. Afterwards, this model was solved by a proposed Labeling Algorithm which will be compared with the traditional -constraint method for multiobjective problems. Twelve test instances were generated in order to assess both methodologies. The experimental results as well as the approximated Pareto front are shown. Finally, this thesis work presents the importance of using these kind of modeling techniques in a supply chain.González Velarde, José LuisCamacho Vallejo, José FernandoJosé Fernando Camacho VallejoGonzález Velarde, José LuisCárdenas Barrón, Leopoldo Eduardo2018-06-01T15:50:06Z2018-06-01T15:50:06Z2017-12-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfhttp://hdl.handle.net/11285/630023reponame:Repositorio Institucional del Tecnológico de Monterreyinstname:Instituto Tecnológico y de Estudios Superiores de Monterreyinstacron:ITESMengOpen Accesshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.tec.mx:11285/6300232024-08-14T23:02:03Z
dc.title.none.fl_str_mv A hierarchical multiobjective problem for green logistics
title A hierarchical multiobjective problem for green logistics
spellingShingle A hierarchical multiobjective problem for green logistics
Salazar Zendeja, Luis Alberto
Bilevel programming
Multiobjective optimization
GRASP metaheuristic
VND
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
title_short A hierarchical multiobjective problem for green logistics
title_full A hierarchical multiobjective problem for green logistics
title_fullStr A hierarchical multiobjective problem for green logistics
title_full_unstemmed A hierarchical multiobjective problem for green logistics
title_sort A hierarchical multiobjective problem for green logistics
dc.creator.none.fl_str_mv Salazar Zendeja, Luis Alberto
author Salazar Zendeja, Luis Alberto
author_facet Salazar Zendeja, Luis Alberto
author_role author
dc.contributor.none.fl_str_mv González Velarde, José Luis
Camacho Vallejo, José Fernando
José Fernando Camacho Vallejo
González Velarde, José Luis
Cárdenas Barrón, Leopoldo Eduardo
dc.subject.none.fl_str_mv Bilevel programming
Multiobjective optimization
GRASP metaheuristic
VND
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
topic Bilevel programming
Multiobjective optimization
GRASP metaheuristic
VND
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
description Throughout all the extension of this thesis a situation where a distribution company and a manufacturer company work within a supply chain in a hierarchically manner. Each one of them has to optimize their own operations to minimize costs in the case of the manufacturer company and maximize profit as well as minimize CO2 emissions for the distribution company. A green logistic approach is also desired in this research, which is one of the reasons that a minimization of greenhouse gas emissions is considered. The resulting formulation of the problem is a multiobjective bilevel model, therefore a GRASP metaheuristic within a weighted sum method was developed to tackle this problem. In addition, a second simpler methodology which consists to reformulate the problem only as a selection of the customers that will be visited was used. In the latter methodology, the specific modeling known as the Multiple Choice Model was implemented to remove the bilevel aspect of the situation resulting in an easier model. Afterwards, this model was solved by a proposed Labeling Algorithm which will be compared with the traditional -constraint method for multiobjective problems. Twelve test instances were generated in order to assess both methodologies. The experimental results as well as the approximated Pareto front are shown. Finally, this thesis work presents the importance of using these kind of modeling techniques in a supply chain.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-04
2018-06-01T15:50:06Z
2018-06-01T15:50:06Z
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11285/630023
url http://hdl.handle.net/11285/630023
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv Open Access
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional del Tecnológico de Monterrey
instname:Instituto Tecnológico y de Estudios Superiores de Monterrey
instacron:ITESM
instname_str Instituto Tecnológico y de Estudios Superiores de Monterrey
instacron_str ITESM
institution ITESM
reponame_str Repositorio Institucional del Tecnológico de Monterrey
collection Repositorio Institucional del Tecnológico de Monterrey
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 14.965156

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