A Neural Network Approach and Fuzzy Theory for a New Product Development

Author

Liu, Xiaoliang ; Liu, Xiao

Author_Institution

Dept. of Econ. & Manage., Binzhou Coll., Binzhou, China

fYear

2010

fDate

23-25 July 2010

Firstpage

1

Lastpage

4

Abstract

An ANN-based dynamic FQFD method is proposed in order to solve the dynamic and fuzzy nature of QFD, that solves the problem of the dynamic nature by using neural network method, while the introduction of trapezoidal fuzzy number for its ambiguity. Firstly, a combined method with neural networks and FQFD is established, after learning and training, the method can quickly and effectively deliver customer requirements to the products designers. Finally, a case study demonstrates the effectiveness of the proposed method during the course of new products design.

Keywords

customer satisfaction; fuzzy set theory; neural nets; product design; product development; quality function deployment; ANN based dynamic FQFD method; customer requirements; fuzzy quality function deployment; neural network approach; product development; products design; trapezoidal fuzzy number; Artificial neural networks; Customer satisfaction; Educational institutions; Fuzzy neural networks; Fuzzy set theory; Mechanical engineering; Neural networks; Product design; Product development; Quality function deployment;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on

Conference_Location

Ternopil

Print_ISBN

978-1-4244-6972-7

Electronic_ISBN

978-1-4244-6974-1

Type

conf

DOI

10.1109/IEEC.2010.5533245

Filename

5533245