A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico

Mexico is the world’s third largest consumer of Polyethylene Terephthalate (PET), only preceded by the United States and China. PET is commonly used in plastic containers such as beverage bottles and food packaging. It can be argued that the main problem regarding pollution generated by PET waste li...

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Autores:
Pérez-Salazar, María Del Rosario
Mateo-Díaz, Nicolás Francisco
García-Rodríguez, Rogelio
Mar-Orozco, Carlos Eusebio
Cruz-Rivero, Lidilia
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60721
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60721
http://bdigital.unal.edu.co/59053/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
genetic algorithm
solid waste management
capacitated location problem
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Pérez-Salazar, María Del Rosario0c498921-5c29-4dd8-9423-0a52ec0ad927300Mateo-Díaz, Nicolás Francisco4436a1f7-f5f2-4849-8711-9446df6a64da300García-Rodríguez, Rogeliof2cc1821-77c2-401d-943f-da491cb8880b300Mar-Orozco, Carlos Eusebiof20bb47f-29d0-4348-b4c0-76a82fc7ec75300Cruz-Rivero, Lidilia9978de0e-91ea-479a-8047-c6214c5febc13002019-07-02T18:57:46Z2019-07-02T18:57:46Z2015-05-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60721http://bdigital.unal.edu.co/59053/Mexico is the world’s third largest consumer of Polyethylene Terephthalate (PET), only preceded by the United States and China. PET is commonly used in plastic containers such as beverage bottles and food packaging. It can be argued that the main problem regarding pollution generated by PET waste lies in the lack of appropriate solid waste management. The decision regarding facility location is the central issue in solid waste management. A mixed integer linear programming model of the capacitated facility location problem is proposed and then a genetic algorithm is designed to optimize the model. The problem is described as follows: given the quantities of PET generated in the northern region of Veracruz, Mexico, by considering five cities and each as a single generation source, a collection center has to be selected among a set of pre-identified locations in the town of Tempoal, Veracruz; in order to serve a set of demand points in the re-use market; demands are assumed to be uncertain. The aim is to minimize the system’s overall cost.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/51146Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaPérez-Salazar, María Del Rosario and Mateo-Díaz, Nicolás Francisco and García-Rodríguez, Rogelio and Mar-Orozco, Carlos Eusebio and Cruz-Rivero, Lidilia (2015) A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico. DYNA, 82 (191). pp. 51-57. ISSN 2346-218362 Ingeniería y operaciones afines / Engineeringgenetic algorithmsolid waste managementcapacitated location problemA genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, MexicoArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL51146-250827-1-PB.pdfapplication/pdf815390https://repositorio.unal.edu.co/bitstream/unal/60721/1/51146-250827-1-PB.pdf868ed134cdf8e05ab826cbc193cbe9d6MD51THUMBNAIL51146-250827-1-PB.pdf.jpg51146-250827-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9506https://repositorio.unal.edu.co/bitstream/unal/60721/2/51146-250827-1-PB.pdf.jpg40c6311677e73f601f632f8cd8abb161MD52unal/60721oai:repositorio.unal.edu.co:unal/607212024-04-14 23:11:43.912Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
title A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
spellingShingle A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
62 Ingeniería y operaciones afines / Engineering
genetic algorithm
solid waste management
capacitated location problem
title_short A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
title_full A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
title_fullStr A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
title_full_unstemmed A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
title_sort A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico
dc.creator.fl_str_mv Pérez-Salazar, María Del Rosario
Mateo-Díaz, Nicolás Francisco
García-Rodríguez, Rogelio
Mar-Orozco, Carlos Eusebio
Cruz-Rivero, Lidilia
dc.contributor.author.spa.fl_str_mv Pérez-Salazar, María Del Rosario
Mateo-Díaz, Nicolás Francisco
García-Rodríguez, Rogelio
Mar-Orozco, Carlos Eusebio
Cruz-Rivero, Lidilia
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
genetic algorithm
solid waste management
capacitated location problem
dc.subject.proposal.spa.fl_str_mv genetic algorithm
solid waste management
capacitated location problem
description Mexico is the world’s third largest consumer of Polyethylene Terephthalate (PET), only preceded by the United States and China. PET is commonly used in plastic containers such as beverage bottles and food packaging. It can be argued that the main problem regarding pollution generated by PET waste lies in the lack of appropriate solid waste management. The decision regarding facility location is the central issue in solid waste management. A mixed integer linear programming model of the capacitated facility location problem is proposed and then a genetic algorithm is designed to optimize the model. The problem is described as follows: given the quantities of PET generated in the northern region of Veracruz, Mexico, by considering five cities and each as a single generation source, a collection center has to be selected among a set of pre-identified locations in the town of Tempoal, Veracruz; in order to serve a set of demand points in the re-use market; demands are assumed to be uncertain. The aim is to minimize the system’s overall cost.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-05-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:57:46Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:57:46Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/60721
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/59053/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60721
http://bdigital.unal.edu.co/59053/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/51146
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Pérez-Salazar, María Del Rosario and Mateo-Díaz, Nicolás Francisco and García-Rodríguez, Rogelio and Mar-Orozco, Carlos Eusebio and Cruz-Rivero, Lidilia (2015) A genetic algorithm to solve a three-echelon capacitated location problem for a distribution center within a solid waste management system in the northern region of Veracruz, Mexico. DYNA, 82 (191). pp. 51-57. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
institution Universidad Nacional de Colombia
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