A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment


EXPERT SYSTEMS WITH APPLICATIONS, vol.38, no.4, pp.3015-3022, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 4
  • Publication Date: 2011
  • Doi Number: 10.1016/j.eswa.2010.08.091
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.3015-3022
  • Keywords: Quality function deployment, Fuzzy linear regression, Fuzzy multiple objective programming, House of quality, PRODUCT DESIGN, MODEL, FRAMEWORK, QFD
  • Galatasaray University Affiliated: Yes


Quality function deployment (QFD) is a systematic process for translating customer needs into engineering characteristics, and then communicating them throughout the enterprise in a way to ensure that details are quantified and controlled. The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the relationships between both customer needs and engineering characteristics, and among engineering characteristics. Albeit QFD aims to maximize customer satisfaction, requirements related to enterprise satisfaction such as cost budget, extendibility, and technical difficulty also need to be considered. This paper presents a fuzzy multiple objective decision framework that includes not only fulfillment of engineering characteristics to maximize customer satisfaction, but also maximization of extendibility and minimization of technical difficulty of engineering characteristics as objectives subject to a financial budget constraint to determine target levels of engineering characteristics in product design. A real-world quality improvement problem is presented to illustrate the application of the decision approach. (C) 2010 Elsevier Ltd. All rights reserved.