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Multicriteria Methodology for Selection of a Personal Electric Vehicle

2023Journal article Open access
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dc.contributor.authorGomes, Carlos Francisco Simões
dc.contributor.authorSousa, Francisco
dc.contributor.authorPereira, Teresa
dc.contributor.authorOliveira, Marisa
dc.contributor.authorMiranda Torres, Luís Norberto
dc.date.accessioned2023-09-08T14:45:11Z
dc.date.available2023-09-08T14:45:11Z
dc.date.issued2023
dc.description.abstractA methodology that can support the decision process for selecting an Electric Vehicle (EV) is crucial. Considering the quantity, diversity, and complexity of existing EV models, their advantages and disadvantages, and people's increasing concern for sustainability, selecting and buying a personal EV appropriate to one's needs and requirements is not a simple task. Currently, criteria such as price, consumption per 100 km, range, comfort, brand, safety, and technology can be used to analyse available EV models. In this context, the decision-making process can be supported by the Multicriteria Decision Analysis (MCDA), “a method that clearly structures and evaluates complex problems with several alternatives, conflicting criteria, and complex scenarios. The novelty of this paper is to present a hybrid MCDA approach, combining two powerful methods (AHP and PROMETHEE) into a single framework to assist EV selection by any given person who has no multicriteria knowledge. A survey was conducted to define relevant criteria for a private person selecting an EV. The approach was validated for EV selection, considering the available offer within a target value, based solely on available public data, and excluding qualitative criteria. The paper discusses a case study whereby the proposed approach, using both quantitative and qualitative criteria, assists a decision-maker in selecting an EV from a set of alternatives, validated by the decision-maker, proving the importance and relevance of supporting the decision-making process.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.14488/BJOPM.1415.2023pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23491
dc.language.isoengpt_PT
dc.publisherABEPROpt_PT
dc.relation.publisherversionhttps://bjopm.org.br/bjopm/article/view/1415pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMulticriteriapt_PT
dc.subjectPROMETHEEpt_PT
dc.subjectAHPpt_PT
dc.subjectElectric vehiclespt_PT
dc.titleMulticriteria Methodology for Selection of a Personal Electric Vehiclept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue2pt_PT
oaire.citation.startPage1415pt_PT
oaire.citation.titleBrazilian Journal of Operations & Production Managementpt_PT
oaire.citation.volume20pt_PT
person.familyNameRibeiro Pereira
person.familyNameGuerra Pereira
person.familyNameMiranda Torres
person.givenNameMaria Teresa
person.givenNameMarisa
person.givenNameLuís Norberto
person.identifierU-2265-2018
person.identifier3381700
person.identifier.ciencia-id7A16-77DE-410A
person.identifier.ciencia-idC617-AFB8-08D6
person.identifier.orcid0000-0003-4556-9578
person.identifier.orcid0000-0002-1918-0895
person.identifier.orcid0000-0002-0419-2770
person.identifier.scopus-author-id56624034400
person.identifier.scopus-author-id57194871062
person.identifier.scopus-author-id55187007900
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3f7f1146-378f-4f1d-80ba-d499f3bd114b
relation.isAuthorOfPublication50ffcc6f-af63-4187-8c33-7abd8bd17648
relation.isAuthorOfPublicatione17057bd-456e-45f1-b6d7-cb797fe651aa
relation.isAuthorOfPublication.latestForDiscovery3f7f1146-378f-4f1d-80ba-d499f3bd114b

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