Multi-Criteria Optimization for Fleet Size with Environmental Aspects

[EN] This research concerns multi-criteria vehicle routing problems. Mathematical models are formulated with mixed-integer programming. We consider maximization of capacity of truck vs. minimization of utilization of fuel, carbon emission and production of noise. The problems deal with green logisti...

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Detalles Bibliográficos
Autores: Sawik, Bartosz, Faulin, Javier, Pérez-Bernabeu, Elena
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/105494
Acceso en línea:https://riunet.upv.es/handle/10251/105494
Access Level:acceso abierto
Palabra clave:Multi-Criteria Decision Making
Vehicle Routing
Green Logistics
Heterogeneous fleet
ESTADISTICA E INVESTIGACION OPERATIVA
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spelling Multi-Criteria Optimization for Fleet Size with Environmental AspectsSawik, BartoszFaulin, JavierPérez-Bernabeu, ElenaMulti-Criteria Decision MakingVehicle RoutingGreen LogisticsHeterogeneous fleetESTADISTICA E INVESTIGACION OPERATIVA[EN] This research concerns multi-criteria vehicle routing problems. Mathematical models are formulated with mixed-integer programming. We consider maximization of capacity of truck vs. minimization of utilization of fuel, carbon emission and production of noise. The problems deal with green logistics for routes crossing the Western Pyrenees in Navarre, Basque Country and La Rioja, Spain. We consider heterogeneous fleet of trucks. Different types of trucks have not only different capacities, but also require different amounts of fuel for operations. Consequently, the amount of carbon emission and noise vary as well. Companies planning delivery routes must consider the trade-off between the financial and environmental aspects of transportation. Efficiency of delivery routes is impacted by truck size and the possibility of dividing long delivery routes into smaller ones. The results of computational experiments modeled after real data from a Spanish food distribution company are reported. Computational results based on formulated optimization models show some balance between fleet size, truck types, utilization of fuel, carbon emission and production of noise. As a result, the company could consider a mixture of trucks sizes and divided routes for smaller trucks. Analyses of obtained results could help logistics managers lead the initiative in environmental conservation by saving fuel and consequently minimizing pollution.This work has been partially supported by the National Research Center (NCN), Poland (DEC2013/11/B/ST8/04458), by AGH, and by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180- C3-P and TRA2015-71883-REDT), and the Ibero-American Program for Science and Technology for Development (CYTED2014-515RT0489). Likewise, we want to acknowledge the support received by the CAN Foundation in Navarre, Spain (Grants CAN2014-3758 and CAN2015-70473). The authors are grateful to anonymous reviewers for their comments.ElsevierMinisterio de Economía y CompetitividadCYTED Ciencia y Tecnología para el DesarrolloNational Science Centre, PoloniaFundación Caja NavarraRepositorio Institucional de la Universitat Politècnica de València Riunet20172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/105494reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengCYTED Ciencia y Tecnología para el Desarrollo https://doi.org/10.13039/501100008441 515RT0489 RED IBEROAMERICANA DE LOGÍSTICA INTELIGENTE EN LA GESTIÓN SOSTENIBLE DEL TRANSPORTE EN NÚCLEOS URBANOSMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TRA2015-71883-REDT TRANSPORTE, LOGISTICA, Y PRODUCCION INTELIGENTEMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TRA2013-48180-C3-1-P COOPERACION HORIZONTAL Y COSTES MEDIOAMBIENTALES EN LA GESTION SOSTENIBLE DEL TRANSPORTE DE MERCANCIASNational Science Centre, Polonia https://doi.org/10.13039/501100004281 DEC-2013%2F11%2FB%2FST8%2F04458Fundación Caja Navarra Fundación Caja Navarra CAN2014-3758Fundación Caja Navarra Fundación Caja Navarra CAN2015-70473open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1054942026-06-13T07:49:27Z
dc.title.none.fl_str_mv Multi-Criteria Optimization for Fleet Size with Environmental Aspects
title Multi-Criteria Optimization for Fleet Size with Environmental Aspects
spellingShingle Multi-Criteria Optimization for Fleet Size with Environmental Aspects
Sawik, Bartosz
Multi-Criteria Decision Making
Vehicle Routing
Green Logistics
Heterogeneous fleet
ESTADISTICA E INVESTIGACION OPERATIVA
title_short Multi-Criteria Optimization for Fleet Size with Environmental Aspects
title_full Multi-Criteria Optimization for Fleet Size with Environmental Aspects
title_fullStr Multi-Criteria Optimization for Fleet Size with Environmental Aspects
title_full_unstemmed Multi-Criteria Optimization for Fleet Size with Environmental Aspects
title_sort Multi-Criteria Optimization for Fleet Size with Environmental Aspects
dc.creator.none.fl_str_mv Sawik, Bartosz
Faulin, Javier
Pérez-Bernabeu, Elena
author Sawik, Bartosz
author_facet Sawik, Bartosz
Faulin, Javier
Pérez-Bernabeu, Elena
author_role author
author2 Faulin, Javier
Pérez-Bernabeu, Elena
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad
CYTED Ciencia y Tecnología para el Desarrollo
National Science Centre, Polonia
Fundación Caja Navarra
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Multi-Criteria Decision Making
Vehicle Routing
Green Logistics
Heterogeneous fleet
ESTADISTICA E INVESTIGACION OPERATIVA
topic Multi-Criteria Decision Making
Vehicle Routing
Green Logistics
Heterogeneous fleet
ESTADISTICA E INVESTIGACION OPERATIVA
description [EN] This research concerns multi-criteria vehicle routing problems. Mathematical models are formulated with mixed-integer programming. We consider maximization of capacity of truck vs. minimization of utilization of fuel, carbon emission and production of noise. The problems deal with green logistics for routes crossing the Western Pyrenees in Navarre, Basque Country and La Rioja, Spain. We consider heterogeneous fleet of trucks. Different types of trucks have not only different capacities, but also require different amounts of fuel for operations. Consequently, the amount of carbon emission and noise vary as well. Companies planning delivery routes must consider the trade-off between the financial and environmental aspects of transportation. Efficiency of delivery routes is impacted by truck size and the possibility of dividing long delivery routes into smaller ones. The results of computational experiments modeled after real data from a Spanish food distribution company are reported. Computational results based on formulated optimization models show some balance between fleet size, truck types, utilization of fuel, carbon emission and production of noise. As a result, the company could consider a mixture of trucks sizes and divided routes for smaller trucks. Analyses of obtained results could help logistics managers lead the initiative in environmental conservation by saving fuel and consequently minimizing pollution.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/105494
url https://riunet.upv.es/handle/10251/105494
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv CYTED Ciencia y Tecnología para el Desarrollo https://doi.org/10.13039/501100008441 515RT0489 RED IBEROAMERICANA DE LOGÍSTICA INTELIGENTE EN LA GESTIÓN SOSTENIBLE DEL TRANSPORTE EN NÚCLEOS URBANOS
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TRA2015-71883-REDT TRANSPORTE, LOGISTICA, Y PRODUCCION INTELIGENTE
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TRA2013-48180-C3-1-P COOPERACION HORIZONTAL Y COSTES MEDIOAMBIENTALES EN LA GESTION SOSTENIBLE DEL TRANSPORTE DE MERCANCIAS
National Science Centre, Polonia https://doi.org/10.13039/501100004281 DEC-2013%2F11%2FB%2FST8%2F04458
Fundación Caja Navarra Fundación Caja Navarra CAN2014-3758
Fundación Caja Navarra Fundación Caja Navarra CAN2015-70473
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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