Details

Autor(en) / Beteiligte

• Sonar, Harshad Chandrakant
• Kulkarni, Sourabh Devidas

Titel

An Integrated AHP-MABAC Approach for Electric Vehicle Selection

Ist Teil von

• Research in transportation business & management, 2021-12, Vol.41, p.100665, Article 100665

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2021

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Electric vehicles (EVs) play a vital role in reducing greenhouse gas emissions resulting in a reduction of the problem of global warming. Many of the countries are towards the deployment of electric vehicles contributing to sustainable development. Despite the rapid expansion of electric vehicles worldwide, the selection of the best alternative among available variants of EVs is difficult. This paper aims to present an integrated approach of the analytic hierarchy process (AHP) and multi-attributive border approximation area comparison (MABAC) method as a multi-criterion decision-making tool (MCDM) for the selection and ranking of the best alternative of the electric vehicle. The AHP method is used to obtain weight coefficients of criteria, and the selection of EVs alternatives is evaluated using the MABAC method. For the study, a sample of six feasible alternatives has been considered. The novelty of this work lies in the combined approach of AHP-MABAC, which has not been applied previously in this domain. This study contributes by providing a real preference for a comprehensive set of selection criteria and assessing the best alternative from available electric vehicles. •Identification of criteria and alternatives of electric vehicles.•Integrated AHP-MABAC approach for selection and ranking of best alternative.•Assistance to EV manufacturers to focus on customer buying preferences.•Guideline for EV designers to incorporate voice of customers.