Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem

Many supply chains are composed of producers, suppliers, carriers, and customers. These agents must be coordinated to reduce waste and lead times. Production and distribution are two essential phases in most supply chains. Hence, improving the coordination of these phases is critical. This paper stu...

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Detalles Bibliográficos
Autores: Martins, Leandro do Carmo, Gonzalez Neira, Eliana Maria, Hatami, Sara|||0000-0002-8000-4989, Juan Pérez, Ángel Alejandro, Montoya Torres, Jairo R.
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/444801
Acceso en línea:https://hdl.handle.net/2117/444801
https://dx.doi.org/10.1016/j.cie.2021.107486
Access Level:acceso abierto
Palabra clave:Hybrid flow-shop problem
Vehicle routing problem
Biased
Metaheuristics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
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repository_id_str
spelling Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problemMartins, Leandro do CarmoGonzalez Neira, Eliana MariaHatami, Sara|||0000-0002-8000-4989Juan Pérez, Ángel AlejandroMontoya Torres, Jairo R.Hybrid flow-shop problemVehicle routing problemBiasedMetaheuristicsÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacionsMany supply chains are composed of producers, suppliers, carriers, and customers. These agents must be coordinated to reduce waste and lead times. Production and distribution are two essential phases in most supply chains. Hence, improving the coordination of these phases is critical. This paper studies a combined hybrid flow-shop and vehicle routing problem. The production phase is modeled as a hybrid flow-shop configuration. In the second phase, the produced jobs have to be delivered to a set of customers. The delivery is carried out in batches of products, using vehicles with a limited capacity. With the objective of minimizing the service time of the last customer, we propose a biased-randomized variable neighborhood descent algorithm. Different test factors, such as the use of alternative initial solutions, solution representations, and loading strategies, are considered and analyzed.This work has been partially supported by the Spanish Ministry of Science (PID2019-111100RB-C21, RED2018-102642-T) and the Erasmus+ program (2019-I-ES01-KA103-062602).Peer ReviewedElsevier20212021-09-0120252025-10-28journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/444801https://dx.doi.org/10.1016/j.cie.2021.107486reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-111100RB-C21 ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTESopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4448012026-05-27T15:37:01Z
dc.title.none.fl_str_mv Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
title Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
spellingShingle Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
Martins, Leandro do Carmo
Hybrid flow-shop problem
Vehicle routing problem
Biased
Metaheuristics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
title_short Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
title_full Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
title_fullStr Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
title_full_unstemmed Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
title_sort Combining production and distribution in supply chains: the hybrid flow-shop vehicle routing problem
dc.creator.none.fl_str_mv Martins, Leandro do Carmo
Gonzalez Neira, Eliana Maria
Hatami, Sara|||0000-0002-8000-4989
Juan Pérez, Ángel Alejandro
Montoya Torres, Jairo R.
author Martins, Leandro do Carmo
author_facet Martins, Leandro do Carmo
Gonzalez Neira, Eliana Maria
Hatami, Sara|||0000-0002-8000-4989
Juan Pérez, Ángel Alejandro
Montoya Torres, Jairo R.
author_role author
author2 Gonzalez Neira, Eliana Maria
Hatami, Sara|||0000-0002-8000-4989
Juan Pérez, Ángel Alejandro
Montoya Torres, Jairo R.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Hybrid flow-shop problem
Vehicle routing problem
Biased
Metaheuristics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
topic Hybrid flow-shop problem
Vehicle routing problem
Biased
Metaheuristics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
description Many supply chains are composed of producers, suppliers, carriers, and customers. These agents must be coordinated to reduce waste and lead times. Production and distribution are two essential phases in most supply chains. Hence, improving the coordination of these phases is critical. This paper studies a combined hybrid flow-shop and vehicle routing problem. The production phase is modeled as a hybrid flow-shop configuration. In the second phase, the produced jobs have to be delivered to a set of customers. The delivery is carried out in batches of products, using vehicles with a limited capacity. With the objective of minimizing the service time of the last customer, we propose a biased-randomized variable neighborhood descent algorithm. Different test factors, such as the use of alternative initial solutions, solution representations, and loading strategies, are considered and analyzed.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-09-01
2025
2025-10-28
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/444801
https://dx.doi.org/10.1016/j.cie.2021.107486
url https://hdl.handle.net/2117/444801
https://dx.doi.org/10.1016/j.cie.2021.107486
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-111100RB-C21 ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTES
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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