The determination of comprehensive importance ratings of electric vehicle's technical characteristics based on QFD under uncertain context

被引：0
|
作者：
Chang J. [1 ,2 ]
Chen Z. [3 ]
Wang X. [4 ]
Zhang J. [1 ,2 ]
机构：
[1] Collaborative Innovation Center for Chongqing's Modern Trade Logistics & Supply Chain, Chongqing Technology and Business University, Chongqing
[2] School of Business Planning, Chongqing Technology and Business University, Chongqing
[3] School of Civil Engineering, Wuhan University, Wuhan
[4] Economics and Management School, Wuhan University, Wuhan
来源：
Chen, Zhensong (zschen@whu.edu.cn) | 1600年 / CIMS卷 / 26期
基金：
中国国家社会科学基金;
关键词：
Basic uncertain linguistic information; Best worst method; Customer requirements; Electric vehicles; Quality function deployment; Technical characteristics;
D O I：
10.13196/j.cims.2020.01.011
中图分类号：
学科分类号：
摘要：
The importance ratings of technical characteristics(TCs)of electric vehicle, which can help optimize the distribution of resources and fulfill customer requirements(CRs), play a key role in the research and development of electric vehicles. In consideration of the CRs, the performances of competing products, the availability of technologies, and the comprehensive strength of enterprises, this paper put forward a model for the determination of the importance ratings of TCs based on quality function deployment(QFD)under uncertain context to offer a scientific and effective product development tool for electric vehicle manufacturers. In the model, the basic uncertain linguistic information(BULI)is introduced to characterize uncertain information. The main steps include: identify CRs and determine the importance ratings of CRs using best worst method(BWM); determine the relationship level between CRs and TCs and then obtain the basic importance ratings of TCs; utilized BWM to determine the modified importance ratings when considering the analysis of competing products, the availability of technologies, and the comprehensive strength of enterprises; integrate basic importance ratings and modified importance ratings and acquire the comprehensive importance ratings of TCs. Finally, the feasibility and effectivity of the model is illustrated by the case of the electric vehicle development. © 2020, Editorial Department of CIMS. All right reserved.
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页码：103 / 113
页数：10
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