4.7 Article

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

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 171, Issue 2, Pages 390-411

Publisher

ELSEVIER
DOI: 10.1016/j.ejor.2004.09.016

Keywords

fuzzy sets; QFD; AHP; ANP; optimization

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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.

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