Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions

Goods distribution processes must reconcile the economic interests of the companies, which seek higher levels of profitability through costs reduction and service level improvements, with the negative impacts to society and environment, such as chemical pollution and the generation of vehicular cong...

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Autores:
Zapata-Cortes, Julian Andres
Arango-Serna, Martín Dario
Serna Uran, Conrado Augusto
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/68510
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/68510
http://bdigital.unal.edu.co/69543/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
goods distribution
multiobjective model
collaborative inventory
Greenhouse Gases
distribución de mercancías
modelo multiobjetivo
inventario colaborativo
Gases de efecto invernadero
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_abf2Zapata-Cortes, Julian Andres47a54642-4398-462e-9c0e-97f09f0b4f44300Arango-Serna, Martín Dariobc0f7a2b-eef9-4e51-ab23-178216652e91300Serna Uran, Conrado Augustocc93ef47-0b3c-4412-9e78-046015b6c2df3002019-07-03T06:59:12Z2019-07-03T06:59:12Z2018-04-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/68510http://bdigital.unal.edu.co/69543/Goods distribution processes must reconcile the economic interests of the companies, which seek higher levels of profitability through costs reduction and service level improvements, with the negative impacts to society and environment, such as chemical pollution and the generation of vehicular congestion and accidents. This article presents the comparison of three models that analyze the logistics costs associated with the distribution of goods and the greenhouse gas emissions generated by such processes. These models use the Vehicle Routing Problem (IRP) as the basis for optimizing the logistics activities, from which, through multi-objective approaches the CO2 emissions are analyzed. As the main result of the article, it can be observed that the multiobjective models allow finding an adequate combination between logistics costs and emissions, which is attractive to companies and society.Los procesos de distribución de mercancías deben conciliar los intereses económicos de las empresas, que buscan mayores niveles de rentabilidad a través de disminución de los costos y mejoras del nivel de servicio, con los impactos negativos que se producen a la sociedad y al medio ambiente, como es el caso de la contaminación química y problemas de calidad de vida, como la generación de congestión vehicular y accidentes. En este articulo se presenta la comparación de tres modelos que analizan los costos logísticos asociados a la distribución de mercancías y las emisiones de gases efecto invernado que generan dicho procesos. Estos modelos utilizan el Problema de Ruteo de Vehículos (IRP) como base para optimizar las actividades logísticas, a partir del cual, mediante enfoques multobjetivo se analizan las emisiones de CO2. Como principal resultado del articulo se observa que los modelos multiobjetivo permiten encontrar una combinación adecuada entre los costos logísticos y las emisiones, que sea atractivo para empresas y la sociedad.application/pdfspaUniversidad Nacional de Colombia - Sede Medellín - Facultad de Minashttps://revistas.unal.edu.co/index.php/dyna/article/view/68282Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaZapata-Cortes, Julian Andres and Arango-Serna, Martín Dario and Serna Uran, Conrado Augusto (2018) Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions. DYNA, 85 (205). pp. 199-204. ISSN 2346-218362 Ingeniería y operaciones afines / Engineeringgoods distributionmultiobjective modelcollaborative inventoryGreenhouse Gasesdistribución de mercancíasmodelo multiobjetivoinventario colaborativoGases de efecto invernaderoComparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissionsArtículo 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/ARTORIGINAL68282-384414-2-PB.pdfapplication/pdf534236https://repositorio.unal.edu.co/bitstream/unal/68510/1/68282-384414-2-PB.pdf8fb6d38e5df27ff0a4624a0d07ad57bdMD51THUMBNAIL68282-384414-2-PB.pdf.jpg68282-384414-2-PB.pdf.jpgGenerated Thumbnailimage/jpeg9672https://repositorio.unal.edu.co/bitstream/unal/68510/2/68282-384414-2-PB.pdf.jpg84eb9e6f6ae795668622e1dca4c7add2MD52unal/68510oai:repositorio.unal.edu.co:unal/685102024-05-27 23:09:24.099Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
title Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
spellingShingle Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
62 Ingeniería y operaciones afines / Engineering
goods distribution
multiobjective model
collaborative inventory
Greenhouse Gases
distribución de mercancías
modelo multiobjetivo
inventario colaborativo
Gases de efecto invernadero
title_short Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
title_full Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
title_fullStr Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
title_full_unstemmed Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
title_sort Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions
dc.creator.fl_str_mv Zapata-Cortes, Julian Andres
Arango-Serna, Martín Dario
Serna Uran, Conrado Augusto
dc.contributor.author.spa.fl_str_mv Zapata-Cortes, Julian Andres
Arango-Serna, Martín Dario
Serna Uran, Conrado Augusto
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
goods distribution
multiobjective model
collaborative inventory
Greenhouse Gases
distribución de mercancías
modelo multiobjetivo
inventario colaborativo
Gases de efecto invernadero
dc.subject.proposal.spa.fl_str_mv goods distribution
multiobjective model
collaborative inventory
Greenhouse Gases
distribución de mercancías
modelo multiobjetivo
inventario colaborativo
Gases de efecto invernadero
description Goods distribution processes must reconcile the economic interests of the companies, which seek higher levels of profitability through costs reduction and service level improvements, with the negative impacts to society and environment, such as chemical pollution and the generation of vehicular congestion and accidents. This article presents the comparison of three models that analyze the logistics costs associated with the distribution of goods and the greenhouse gas emissions generated by such processes. These models use the Vehicle Routing Problem (IRP) as the basis for optimizing the logistics activities, from which, through multi-objective approaches the CO2 emissions are analyzed. As the main result of the article, it can be observed that the multiobjective models allow finding an adequate combination between logistics costs and emissions, which is attractive to companies and society.
publishDate 2018
dc.date.issued.spa.fl_str_mv 2018-04-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T06:59:12Z
dc.date.available.spa.fl_str_mv 2019-07-03T06:59:12Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/68510
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/69543/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/68510
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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/68282
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Zapata-Cortes, Julian Andres and Arango-Serna, Martín Dario and Serna Uran, Conrado Augusto (2018) Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions. DYNA, 85 (205). pp. 199-204. 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
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
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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