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

ŞENER Z., KARSAK E. E.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.38, sa.4, ss.3015-3022, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 4
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.eswa.2010.08.091
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3015-3022
  • Anahtar Kelimeler: Quality function deployment, Fuzzy linear regression, Fuzzy multiple objective programming, House of quality, PRODUCT DESIGN, MODEL, FRAMEWORK, QFD
  • Galatasaray Üniversitesi Adresli: Evet

Özet

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.