Transition to Electrical Vehicles Based on Multi-Attribute Decision Making

被引:2
|
作者
Todorovic, Milan [1 ]
Simic, Milan [1 ]
机构
[1] RMIT Univ, Sch Engn, Melbourne, Vic, Australia
来源
2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) | 2019年
关键词
electric vehicles; multi-attribute decision making; transition; fuzzy logic;
D O I
10.1109/ICIT.2019.8755210
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents application of multi-attribute decision making applied in a large public institution, to make strategic choice about new mobility technology. Electrical vehicles are becoming important parts of all vehicles product portfolios. Based on their advantages, many users are making transitions and replacing internal combustion engine vehicles with electrical vehicles. Considering a large number of vehicles, with various features, which are currently available on the market, and specific users' requirements, it is often required to apply a comprehensive decision making model in order to select the best solution. In the project presented here, decision making process and methodology used by the Institution, is highlighted. Final decision is based on the knowledge of the previous solution, already executed by one organization with similar operational requirements, and on inputs from internal departments which placed their preferences on various features of several models of electrical vehicles.
引用
收藏
页码:921 / 926
页数:6
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