Article ID: | iaor200973243 |
Volume: | 21 |
Issue: | 4 |
Start Page Number: | 366 |
End Page Number: | 375 |
Publication Date: | Jun 2008 |
Journal: | International Journal of Computer Integrated Manufacturing |
Authors: | Feyzioglu O, Buyukozkan G |
Keywords: | fuzzy sets |
Quality function deployment (QFD) is a well-known planning methodology for translating customer needs into relevant design and production requirements. The intent of applying QFD is to incorporate the voice of the customer into the various phases of the product development cycle for a new product, or a new version of an existing product. The traditional QFD structure requires individuals to express their preferences in a restricted scale without exceptions. In practice, people contributing to the process tend generally to give information about their personal preferences in many different ways, numerically or linguistically, depending on their background. Moreover, collaborative decision-making is not an emphasized issue in QFD even though it requires the involvement of several people. In this study, the QFD methodology is extended by introducing a new group decision-making approach that takes into account multiple preference formats and fusing different expressions into one uniform group decision by means of fuzzy set theory. Moreover, a benchmarking procedure based on the Choquet integral is proposed to rate competing systems and find which dimensions need improvement.