A fuzzy optimization model for QFD planning process using analytic network approach

Kahraman C., Ertay T., Buyukozkan G.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol.171, no.2, pp.390-411, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 171 Issue: 2
  • Publication Date: 2006
  • Doi Number: 10.1016/j.ejor.2004.09.016
  • Journal Name: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.390-411
  • Keywords: fuzzy sets, QFD, AHP, ANP, optimization, QUALITY FUNCTION DEPLOYMENT, SUPPLY CHAIN MANAGEMENT, GROUP DECISION-MAKING, CUSTOMER REQUIREMENTS, DESIGN REQUIREMENTS, SYSTEM, AHP, FRAMEWORK, SELECTION, HOUSE
  • Galatasaray University Affiliated: Yes

Abstract

In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize customer needs (CNs). Especially, the limited resources and increased market competition and product complexity require a customer-driven quality management and product development system achieving higher customer satisfaction. Quality function deployment (QFD) is used as a powerful tool for improving product design and quality, and procuring a customer-driven quality system. In this paper, an integrated framework based on fuzzy-QFD and a fuzzy optimization model is proposed to determine the product technical requirements (PTRs) to be considered in designing a product. The coefficients of the objective function are obtained from a fuzzy analytic network process (ANP) approach. Fuzzy analytic hierarchy process (AHP) is also used in the proposed framework. An application in a Turkish Company producing PVC window and door systems is presented to illustrate the proposed framework. (c) 2004 Elsevier B.V. All rights reserved.