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dc.creatorSawik, Bartoszes_ES
dc.creatorFaulín Fajardo, Javieres_ES
dc.creatorPérez Bernabeu, Elenaes_ES
dc.date.accessioned2019-01-28T08:51:49Z
dc.date.available2019-01-28T08:51:49Z
dc.date.issued2017
dc.identifier.issn2352-1465 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/32116
dc.descriptionPonencia presentada al 19th EURO Working Group on Transportation Meeting, EWGT2016, 5-7 septiembre de 2016, Estambul (Turquía)es_ES
dc.description.abstractThis research presents the group of green vehicle routing problems with environmental costs translated into money versus production of noise, pollution and fuel consumption. This research is focused on multi-objective green logistics optimization. Optimality criteria are environmental costs: minimization of amount of money paid as externality cost for noise, pollution and costs of fuel versus minimization of noise, pollution and fuel consumption themselves. Some mixed integer programming formulations of multi-criteria vehicle routing problems have been considered. Mathematical models were formulated under assumption of existence of asymmetric distance-based costs and use of homogeneous fleet. The exact solution methods are applied for finding optimal solutions. The software used to solve these models is the CPLEX solver with AMPL programming language. The researchers were able to use real data from a Spanish company of groceries. Problems deal with green logistics for routes crossing the Spanish regions of Navarre, Basque Country and La Rioja. Analyses of obtained results could help logistics managers to lead the initiative in area of green logistics by saving money paid for environmental costs as well as direct cost of fuel and minimization of pollution and noise.en
dc.description.sponsorshipThis work has been partially supported by the National Research Center (NCN), Poland (DEC-2013/11/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).en
dc.format.extent9 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevier BVen
dc.relation.ispartofTransportation Research Procedia 22 (2017) 305–313en
dc.rights© 2017 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMulti-objective optimizationen
dc.subjectMixed integer programmingen
dc.subjectGreen logisticsen
dc.subjectVehicle routing problemsen
dc.titleA multicriteria analysis for the green VRP: a case discussion for the distribution problem of a Spanish retaileren
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentEstadística e Investigación Operativaes_ES
dc.contributor.departmentEstatistika eta Ikerketa Operatiboaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1016/j.trpro.2017.03.037
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TRA2013-48180-C3-1-P/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TRA2015-71883-REDT/ES/en
dc.relation.publisherversionhttps://doi.org/10.1016/j.trpro.2017.03.037
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2017 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Except where otherwise noted, this item's license is described as © 2017 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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