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dc.contributor.author
Juan, Angel Alejandro  
dc.contributor.author
Mendez, Carlos Alberto  
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Faulin, Javier  
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de Armas, Jesica  
dc.contributor.author
Grasman, Scott  
dc.date.available
2017-06-21T21:01:09Z  
dc.date.issued
2016-06  
dc.identifier.citation
Juan, Angel Alejandro; Mendez, Carlos Alberto; Faulin, Javier; de Armas, Jesica; Grasman, Scott; Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges; MDPI; Energies; 9; 2; 6-2016; 1-21  
dc.identifier.issn
1996-1073  
dc.identifier.uri
http://hdl.handle.net/11336/18611  
dc.description.abstract
Current 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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
MDPI  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Routing  
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Green Logistics  
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Ingeniería de Sistemas y Comunicaciones  
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-06-08T19:27:40Z  
dc.journal.volume
9  
dc.journal.number
2  
dc.journal.pagination
1-21  
dc.journal.pais
Suiza  
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Basel  
dc.description.fil
Fil: Juan, Angel Alejandro. Universitat Oberta de Catalunya; España  
dc.description.fil
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina  
dc.description.fil
Fil: Faulin, Javier. Universidad de Navarra; España  
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Fil: de Armas, Jesica. Universitat Oberta de Catalunya; España  
dc.description.fil
Fil: Grasman, Scott. Rochester Institute of Technology; Estados Unidos  
dc.journal.title
Energies  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/en9020086  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1996-1073/9/2/86