Multi-criteria optimization for fleet size with environmental aspects

Sawik, Bartosz; Faulín Fajardo, Javier; Pérez Bernabeu, Elena

Publication:
Multi-criteria optimization for fleet size with environmental aspects

dc.contributor.author	Sawik, Bartosz
dc.contributor.author	Faulín Fajardo, Javier
dc.contributor.author	Pérez Bernabeu, Elena
dc.contributor.department	Institute of Smart Cities - ISC	en
dc.date.accessioned	2021-12-09T12:25:20Z
dc.date.available	2021-12-09T12:25:20Z
dc.date.issued	2017
dc.description	20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary	en
dc.description.abstract	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 planningdelivery 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.	en
dc.description.sponsorship	This 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.extent	8 p.
dc.format.mimetype	application/pdf	en
dc.identifier.doi	10.1016/j.trpro.2017.12.056
dc.identifier.issn	2352-1465
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/41219
dc.language.iso	eng	en
dc.publisher	Elsevier	en
dc.relation.ispartof	Transportation Research Procedia 27 (2017) 61–68	en
dc.relation.projectID	info:eu-repo/grantAgreement/MINECO//TRA2013-48180-C3-1-P/ES/	en
dc.relation.projectID	info:eu-repo/grantAgreement/MINECO//TRA2015-71883-REDT/ES/	en
dc.relation.publisherversion	https://doi.org/10.1016/j.trpro.2017.12.056
dc.rights	© 2017 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)	en
dc.rights.accessRights	info:eu-repo/semantics/openAccess	en
dc.rights.accessRights	Acceso abierto / Sarbide irekia	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Multi-criteria decision making	en
dc.subject	Vehicle routing	en
dc.subject	Green logistics	en
dc.subject	Heterogeneous fleet	en
dc.title	Multi-criteria optimization for fleet size with environmental aspects	en
dc.type	info:eu-repo/semantics/conferenceObject
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dc.type.version	Versión publicada / Argitaratu den bertsioa	es
dspace.entity.type	Publication
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