Table of Contents
Journal of Industrial Engineering
Volume 2014, Article ID 548271, 8 pages
http://dx.doi.org/10.1155/2014/548271
Research Article

Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

1School of Management, Shanghai University, Shanghai 200444, China
2College of Sciences, East China Institute of Technology, Nanchang, Jiangxi 330013, China

Received 23 December 2013; Revised 10 March 2014; Accepted 17 March 2014; Published 9 April 2014

Academic Editor: C. K. Kwong

Copyright © 2014 Zhihui Yang and Yizeng Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Quality function deployment (QFD) is a planning and problem-solving tool for translating customer requirements (CRs) into the engineering characteristics (ECs) of a product. Owing to the typical vagueness of functional relationships in a new product, product planning is becoming more difficult under uncertainties. To tackle the vagueness or imprecision in QFD, numerous scholars have applied the fuzzy set theory to QFD and proposed various fuzzy QFD models. In this study, a fuzzy linear programming model is developed to determine the optimal level of ECs, where the objective function is the overall customer satisfaction and the cost constraint is fuzzified. Finally, we use a software product design as a numerical example, which demonstrates that the proposed methodology can help the QFD team realize the overall customer satisfaction of new products catching up with or exceeding the competitors in the target market.