Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study

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dc.contributor.authorHamurcu, Mustafa
dc.contributor.authorEren, Tamer
dc.date.accessioned2025-01-21T16:28:04Z
dc.date.available2025-01-21T16:28:04Z
dc.date.issued2023
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this paper, we consider the problem of automobile selection for transportation in inner city using a hybrid multicriteria decision making approach. The electric automobiles that are a relatively new concept in the world of the automotive industry, are widely viewed as attractive among its alternatives day by day. Fuel-vehicles produce a lot of carbon emissions that are ejected into our natural atmosphere, leaving us vulnerable to things like pollution and greenhouse gases. So, electric vehicle and automobiles have emerged as a more efficient alternative and these vehicles have been a great step forward to help positively the environment with zero emissions and total energy consumption in their lifecycle. Many companies focus on electric vehicle production with the development of electric vehicle technology. Therefore, the selection process emerges among the various electric automobile technologies for the users. The selection process includes several conflicting factors which are such as economic, technical and technological factors. In the present study, we propose a hybrid approach for electric automobile selection that combines analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS) and goal programming (GP) is used to determine the weights to assign to the factors that go into these selection decisions and TOPSIS method is used for preference ranking. These weights founded by AHP are inputted into a GP model to determine the best alternative among the electric automobiles. Finally, the study used three methods TOPSIS, AHP- TOPSIS and AHP-GP for better comparison and evaluation. The most suitable electric automobile is selected among their alternatives by using analytic methods and goal programming. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
dc.identifier.doi10.1007/s10669-022-09878-8
dc.identifier.endpage231
dc.identifier.issn2194-5403
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85137922416
dc.identifier.scopusqualityQ1
dc.identifier.startpage211
dc.identifier.urihttps://doi.org/10.1007/s10669-022-09878-8
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23471
dc.identifier.volume43
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironment Systems and Decisions
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectAHP; Electric automobile selection; Goal programming; Sustainable green environment; TOPSIS
dc.titleMulticriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study
dc.typeArticle

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