Collaborative goods distribution using the IRP model

This paper presents a study of the impact that collaboration in inventory has on distribution costs in a network of one supplier and multiple customers. Freight transport is widely studied due to its impact on logistics costs and service levels of enterprises. Looking for network configurations that...

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Autores:
Arango Serna, Martin Dario
Romano, Carlos Andres
Zapata Cortes, Julian Andres
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60564
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60564
http://bdigital.unal.edu.co/58896/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Goods distribution
collaboration
inventory management
IRP
genetic algorithm.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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oai_identifier_str oai:repositorio.unal.edu.co:unal/60564
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repository_id_str
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_abf2Arango Serna, Martin Dario573f362b-179c-420a-b5df-33606275d61a300Romano, Carlos Andres1750eeba-164c-49ef-b131-f7c8a3e247e9300Zapata Cortes, Julian Andres47a54642-4398-462e-9c0e-97f09f0b4f443002019-07-02T18:36:35Z2019-07-02T18:36:35Z2016-03-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60564http://bdigital.unal.edu.co/58896/This paper presents a study of the impact that collaboration in inventory has on distribution costs in a network of one supplier and multiple customers. Freight transport is widely studied due to its impact on logistics costs and service levels of enterprises. Looking for network configurations that improve some of these aspects will always be attractive to both academics and businesses. The collaborative distribution system was proposed using the IRP model, and it was compared with the scenarios in which the both supplier or customers optimize their inventory levels. For the IRP model solution a genetic algorithm was used, from which it was obtained a collaborative distribution system with a better performance than if the optimization is made independently.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/52492Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaArango Serna, Martin Dario and Romano, Carlos Andres and Zapata Cortes, Julian Andres (2016) Collaborative goods distribution using the IRP model. DYNA, 83 (196). pp. 204-212. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringGoods distributioncollaborationinventory managementIRPgenetic algorithm.Collaborative goods distribution using the IRP modelArtículo 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/ARTORIGINAL52492-290190-1-PB.pdfapplication/pdf742374https://repositorio.unal.edu.co/bitstream/unal/60564/1/52492-290190-1-PB.pdf7d8235d5a982fb30e2bc9e21e475a2f5MD51THUMBNAIL52492-290190-1-PB.pdf.jpg52492-290190-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9609https://repositorio.unal.edu.co/bitstream/unal/60564/2/52492-290190-1-PB.pdf.jpgafb609e79ba2ae25213c7686be5b00fcMD52unal/60564oai:repositorio.unal.edu.co:unal/605642023-04-07 23:04:56.231Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Collaborative goods distribution using the IRP model
title Collaborative goods distribution using the IRP model
spellingShingle Collaborative goods distribution using the IRP model
62 Ingeniería y operaciones afines / Engineering
Goods distribution
collaboration
inventory management
IRP
genetic algorithm.
title_short Collaborative goods distribution using the IRP model
title_full Collaborative goods distribution using the IRP model
title_fullStr Collaborative goods distribution using the IRP model
title_full_unstemmed Collaborative goods distribution using the IRP model
title_sort Collaborative goods distribution using the IRP model
dc.creator.fl_str_mv Arango Serna, Martin Dario
Romano, Carlos Andres
Zapata Cortes, Julian Andres
dc.contributor.author.spa.fl_str_mv Arango Serna, Martin Dario
Romano, Carlos Andres
Zapata Cortes, Julian Andres
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Goods distribution
collaboration
inventory management
IRP
genetic algorithm.
dc.subject.proposal.spa.fl_str_mv Goods distribution
collaboration
inventory management
IRP
genetic algorithm.
description This paper presents a study of the impact that collaboration in inventory has on distribution costs in a network of one supplier and multiple customers. Freight transport is widely studied due to its impact on logistics costs and service levels of enterprises. Looking for network configurations that improve some of these aspects will always be attractive to both academics and businesses. The collaborative distribution system was proposed using the IRP model, and it was compared with the scenarios in which the both supplier or customers optimize their inventory levels. For the IRP model solution a genetic algorithm was used, from which it was obtained a collaborative distribution system with a better performance than if the optimization is made independently.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016-03-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:36:35Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:36:35Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.spa.fl_str_mv Text
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format http://purl.org/coar/resource_type/c_6501
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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/60564
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/58896/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60564
http://bdigital.unal.edu.co/58896/
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/52492
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Arango Serna, Martin Dario and Romano, Carlos Andres and Zapata Cortes, Julian Andres (2016) Collaborative goods distribution using the IRP model. DYNA, 83 (196). pp. 204-212. 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
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/60564/1/52492-290190-1-PB.pdf
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
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