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dc.creatorSerrano Hernández, Adriánes_ES
dc.creatorFaulín Fajardo, Javieres_ES
dc.creatorPintor Borobia, Jesús Maríaes_ES
dc.creatorBelloso Ezcurra, Javieres_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/2454/32117
dc.descriptionPonencia presentada al 19th EURO Working Group on Transportation Meeting, EWGT2016, 5-7 septiembre de 2016, Estambul (Turquía)es_ES
dc.description.abstractFacilities location is a strategic decision which has to be carefully considered because it could involve the failure or success of a business. For that reason, anything that helps decision makers to facilitate their location decision processes is of their utmost interest. The aim of this paper is, therefore, providing a methodology that could be useful for the decision makers by giving them not only an optimal point but also a whole region where they can focus on their attention. Knowing that biofuels are settling as a new alternative energy source which has been spreading around the world to reduce greenhouse gas emissions and oil dependence, this methodology is tested in the real case of locating a biorefinery in Navarre, Spain. Moreover, A Mixed Integer Linear Programming (MILP) model has been developed to generate optimal region vertices as well as some other supply chain characteristics, including, among others, which crops are going to be harvested, when they are going to be collected, and their storage levels. Additionally, two criteria were implemented in MILP model to create two optimal regions: one considering an economic criterion and other one minimizing environmental impact. As a result, two regions were drawn in the Navarrese territory that point out where a biorefinery should be located and how the supply chain should be designed.en
dc.description.sponsorshipThis work has been partially supported by the Government of Navarre (Biorefinery Navarra project IIM14196.RI1) 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 (Grant CAN2015-70473).en
dc.format.extent10 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevier BVes_ES
dc.relation.ispartofTransportation Research Procedia, 22 (2017) 95–104en
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.subjectFacility location problemen
dc.subjectBiorefineryen
dc.subjectMixed integer linear programmingen
dc.subjectBiofuelsen
dc.titleDetermining an optimal area to locate a biorefinery under economic and environmental criteriaen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentISC - Institute of Smart Citiesen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1016/j.trpro.2017.03.014
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TRA2013-48180
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TRA2015-71884
dc.relation.publisherversionhttps://doi.org/10.1016/j.trpro.2017.03.014
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)