DocumentCode :
2755104
Title :
Fuzzy-grey evaluation of product scheme based on QFD theory
Author :
Mu, R.
Author_Institution :
Dept. of Mech. & Electr. Eng., Xiamen Univ., Xiamen, China
fYear :
2010
fDate :
2-5 June 2010
Firstpage :
495
Lastpage :
500
Abstract :
The aim of the current study is to implement fuzzy set theory and grey theory for selection of a proper scheme that will best meet customers requirements with uncertainty and lack of information. In the first phase, we propose a framework based on traditional quality function deployment (QFD). Analytic hierarchy process (AHP) is utilized to compute the transcendental weight. Then, entropy theory is used to achieve amendatory weight. In the next phase, the scheme evaluation model is put forward. The fuzzy logic and trapeziform fuzzy numbers are utilized to deal with vagueness of human thought and grey relational analysis is adopted to measure the relationship between objective sequence and reference sequences. Finally, a case study is conducted to illustrate the evaluation.
Keywords :
fuzzy logic; fuzzy set theory; grey systems; production management; quality function deployment; QFD theory; amendatory weight; analytic hierarchy process; customers requirements; entropy theory; fuzzy grey evaluation; fuzzy logic; fuzzy set theory; grey relational analysis; grey theory; objective sequence; product scheme evaluation model; quality function deployment; reference sequence; trapeziform fuzzy numbers; Customer satisfaction; Entropy; Fuzzy logic; Fuzzy set theory; Humans; Information analysis; Product design; Quality function deployment; Strategic planning; Uncertainty; AHP; QFD; fuzzy set theory; grey relational analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6565-1
Electronic_ISBN :
978-1-4244-6566-8
Type :
conf
DOI :
10.1109/ICMIT.2010.5492769
Filename :
5492769
Link To Document :
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