Electric vehicles in logistics and transportation: a survey on emerging environmental, strategic, and operational challenges

Simple item page
dc.contributor.authorJuan Pérez, Ángel Alejandro
dc.contributor.authorMéndez, Carlos Alberto
dc.contributor.authorFaulín Fajardo, Javier
dc.contributor.authorArmas, Jesica de
dc.contributor.authorGrasman, Scott Erwin
dc.contributor.departmentEstadística e Investigación Operativaes_ES
dc.contributor.departmentEstatistika eta Ikerketa Operatiboaeu
dc.date.accessioned2017-11-15T08:00:43Z
dc.date.available2017-11-15T08:00:43Z
dc.date.issued2016
dc.descriptionIncluye correcciones [Energies 2016, 9(7), 546; doi:10.3390/en9070546]es_ES
dc.description.abstractCurrent logistics and transportation (L&T) systems include heterogeneous fleets consisting of common internal combustion engine vehicles as well as other types of vehicles using “green” technologies, e.g., plug-in hybrid electric vehicles and electric vehicles (EVs). However, the incorporation of EVs in L&T activities also raise some additional challenges from the strategic, planning, and operational perspectives. For instance, smart cities are required to provide recharge stations for electric-based vehicles, meaning that investment decisions need to be made about the number, location, and capacity of these stations. Similarly, the limited driving-range capabilities of EVs, which are restricted by the amount of electricity stored in their batteries, impose non-trivial additional constraints when designing efficient distribution routes. Accordingly, this paper identifies and reviews several open research challenges related to the introduction of EVs in L&T activities, including: (a) environmental-related issues; and (b) strategic, planning and operational issues associated with “standard” EVs and with hydrogen-based EVs. The paper also analyzes how the introduction of EVs in L&T systems generates new variants of the well-known Vehicle Routing Problem, one of the most studied optimization problems in the L&T field, and proposes the use of metaheuristics and simheuristics as the most efficient way to deal with these complex optimization problems.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P and TRA2015-71883-REDT), FEDER, and the CYTED Program (CYTED2014-515RT0489). Likewise, we want to acknowledge the support received by the Catalan Government (2014-CTP-00001) and the CAN Foundation (CAN2014-3758 and CAN2015-70473).en
dc.format.extent21 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/en9020086
dc.identifier.issn1996-1073
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/26144
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofEnergies, 2016, 9(2), 86en
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://dx.doi.org/10.3390/en9020086
dc.relation.publisherversionhttps://dx.doi.org/10.3390/en9070546
dc.rights© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectElectric vehiclesen
dc.subjectLogistics and transportationen
dc.subjectGreen vehicle routing problemsen
dc.titleElectric vehicles in logistics and transportation: a survey on emerging environmental, strategic, and operational challengesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublication2f9b6dfd-9ac6-42b0-bff1-82079b8a03b8
relation.isAuthorOfPublicationfea57413-b6e8-4af9-802b-2121b8fa75bd
relation.isAuthorOfPublication.latestForDiscovery2f9b6dfd-9ac6-42b0-bff1-82079b8a03b8

Files

Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
17_ElectricVehicles.pdf
Size:
595.57 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
17_Correccion_de_errores.pdf
Size:
145.74 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Artículos de revista DEIO - EIOS Aldizkari artikuluak
Artículos de revista - Aldizkari artikuluak