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Selection of Electric Vehicles for Public Use Using AHP
Author(s) -
Nader A. B. Al Theeb,
Ahmed E. Taha,
Mohammad Yousef Al Atari
Publication year - 2019
Publication title -
journal of ict design engineering and technological science
Language(s) - English
Resource type - Journals
ISSN - 2604-2673
DOI - 10.33150/jitdets-3.2.1
Subject(s) - analytic hierarchy process , selection (genetic algorithm) , computer science , business , transport engineering , operations research , automotive engineering , engineering , artificial intelligence
As the entire world shifts from the use of normal vehicles, which consumes fuel, to the use of electric vehicles; the aim of this project is to help the customers choose the best Electric Vehicle (EV) to use for the courier logistics in the Jordanian market, using Analytical Hierarchy Process (AHP). This decision making methodology, AHP, has been extensively used to make decisions in different logistics branches. Themain phases of using this tool in this research are to select the alternatives which are the EVs, choose appropriate criteria for selection, and construct realistic comparison matrix based on technical data or experts’ opinions. To apply this methodology, four quantitative criteria and six qualitative criteria for selection were used, ive types of electrical and/or hybrid vehicles are considered because they are available in the Jordanian market, and both technical data and experts’ opinions were used to construct the comparison matrices. It is found in the results that consistency ratios are less than 10%, which means that the data are acceptable. Additionally, it is found that the reliability criterion gets the highest interest among participants who illed out the survey. Finally, Tesla S is found to be the best choice based on different criteria and its economical feasible to be used.

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