AN ANALYTICAL VEHICLE KANO MODEL DEVELOPMENT INTEGRATING WITH QFD AND TRIZ METHODS

被引:0
作者
Chang, Liu [1 ]
Chen, Jiaquan [2 ]
Chang, Yin-ping [3 ]
机构
[1] Shandong Jianzhu Univ, Sch Mech & Elect Engn, Jinan, Peoples R China
[2] FAW, Ctr Tech, Changchun, Peoples R China
[3] Oakland Univ, Dept Mech Engn, Rochester, MI 48309 USA
来源
PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 4 | 2022年
关键词
Kano model; QFD; House of Quality; S-Curve; TRIZ;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The rapid development of science and technology has resulted in ever-shortening product development cycle and varies customers' wants and needs tremendously. To keep the pace of market developments and customers' needs, a shorter product developing process and cycle is necessary. During the process of engineering design and development, there is always a gap between customers and engineers. This research creates a new Customer to Engineering (C2E) system by integrating the Kano model, QFD and S-Curve in TRIZ method. The C2E system is the bridge to close the gap between the customers and engineers by constructing an engineering design chain from customers' voices all the way to the engineering system. In this paper, an optimized analytical Kano model is developed, and a new classification method is conducted. Based on the classification and balance model of vehicle performance indices, two new parameters, Kano Classification Coefficient and Customer Perception Factor are introduced. Then the Relative Important Degree and the Ultimate Customer Perception Factor are derived with the concept of QFD to further optimize Kano model and digitalize HoQ (House of Quality) diagram with geometric progression for further analyses. The corresponding relationship between Kano model and S-Curve is introduced to identify the development stage of the engineering system for the first time. Once the stage is identified, further design modifications can be applied to the engineering system according to the S-Curve analyses.
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页数:8
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