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