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

被引:445
作者
Kahraman, C
Ertay, T [1 ]
Büyüközkan, G
机构
[1] Istanbul Tech Univ, Dept Engn Management, TR-34367 Istanbul, Turkey
[2] Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey
[3] Galatasaray Univ, Dept Ind Engn, TR-34357 Istanbul, Turkey
关键词
fuzzy sets; QFD; AHP; ANP; optimization;
D O I
10.1016/j.ejor.2004.09.016
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:390 / 411
页数:22
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