DocumentCode :
3460025
Title :
ANN-Based Fuzzy Reasoning to Determine the Importance of Technical Requirements in QFD
Author :
Yang, Mingshun ; Li, Yan ; Li, Shujjuan ; Li, Pengyang
Author_Institution :
Sch. of Mech. & Instrum. Eng., Xi´´an Univ. of Technol., Xi´´an
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
During the product planning phase in QFD (Quality Function Deployment), the final importance of the technical requirements is key to optimize the whole HoQ (House of Quality) and to make deployment decision for the next stage. In the paper, the limitations of traditional methods are analyzed; by using the built product planning HoQ and the available linguistic terms based experts´ knowledge, and with the artificial neural network introduced to realize neural network-based fuzzy reasoning, the final importance of the technical requirements is evaluated reasonably and effectively.
Keywords :
fuzzy reasoning; neural nets; production planning; quality function deployment; ANN-based fuzzy reasoning; QFD; artificial neural networks; house of quality; linguistic term based expert knowledge; product planning phase; quality function deployment; Artificial neural networks; Customer satisfaction; Fuzzy reasoning; Information analysis; Instruments; Manufacturing; Neural networks; Process planning; Quality function deployment; Technology planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1888
Filename :
4680077
Link To Document :
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