DocumentCode :
687441
Title :
A Kano-Based Evaluation Model for Extensive Innovation Procedure
Author :
Chang-Tzuoh Wu ; Ming-Hui Shao ; Chien-Lung Huang ; Chung-Hsien Chen ; Tien-Szu Pan
Author_Institution :
Dept. of Ind. Design, Nat. Kaohsiung Normal Univ., Kaohsiung, Taiwan
fYear :
2013
fDate :
10-12 Dec. 2013
Firstpage :
178
Lastpage :
181
Abstract :
This research focus on developing approach to innovative design problems based on the TRIZ and extension method. The proposed innovative design procedure combines the Su-Field modeling procedure, extension method and Kano-based evaluation model to improve the efficiency and extent of concept evolutions. The extensibility of matter-element helps to transform the descriptions of design problems and solutions more creatively. In this research, we will introduce the Kano model to construct a psychology-based evaluation procedure. Su-field model and concept extension of matter-element have also been introduced into symbolic developments to derive out more creative solutions. This study proposes a flexible and extensible innovative design approach with the help of extension method and Kano-based evaluation model. The bicycle design examples are adopted to explain and verify feasibility of the proposed approach.
Keywords :
innovation management; product design; psychology; Kano-based evaluation model; Su-field modeling procedure; TRIZ; bicycle design examples; concept evolutions; concept extension; extensible innovative design approach; extension method; extensive innovation procedure; innovative design problems; matter-element; psychology-based evaluation procedure; symbolic developments; Bicycles; Force; Gears; Patents; Psychology; Standards; Technological innovation; Kano model; Su-Field; extension theory; matter-element;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-3183-5
Type :
conf
DOI :
10.1109/RVSP.2013.48
Filename :
6830008
Link To Document :
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