A New Quant Model to Ensure Successful QFD Implementation in the Increasingly Uncertain Environment

Wei Xiong (), Kun Xiong and Xiao-tun Wang
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Wei Xiong: Zhejiang University
Kun Xiong: Zhejiang University
Xiao-tun Wang: Zhejiang University

Chapter Chapter 8 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 81-89 from Springer

Abstract: Abstract QFD (Quality Function Deployment) can improve the quality of product and increase customer satisfaction, leading to superior performance of companies. But as global economy develops, the conditions wherein QFD is applied are becoming increasingly uncertain, which causes a lot of problems. Particularly, traditional techniques of QFD cannot deal with the vagueness, subjectivity and uncertainty of the linguistic information provided by customers as well as the R&D teams. This paper proposed a new model to solve such problems. We first integrated rough set theory into AHP (Analytic Hierarchy Process) to build one part of the model, which mainly deal with the uncertain information provided by customers. Then we applied linguistic information based GDM (Group Decision Making) theory to the expert assessment process to build another part of the model, which deal with the uncertain information within the R&D team.

Keywords: Linguistic information based group decision making theory; Quality function deployment; Rough set theory; Uncertain environment (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37270-4_8

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DOI: 10.1007/978-3-642-37270-4_8

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