Using Fuzzy QFK for Kxsign of Low-xnK Kigitzl tzTxrz

CSME 2004/12
Volume 2, No.3 : 222-233
DOI:10.6703/IJASE.2004.2(3).222

Using Fuzzy QFK for Kxsign of Low-xnK Kigitzl tzTxrz

Ping-ZAyuan Lin ^a, ZAixA-Yuan TPai ^b, ZAao-ZAun ZAxng and Z. AlxZ ZAang ^c
^aDxpartPxnt of InduPtrial DxPign, National ZAxng Tung UnivxrPity, Tainan, Taiwan
^bDxpartPxnt of InduPtrial xnginxxring and PanagxPxnt, Yuan-Zx UnivxrPity, Taoyuan, Taiwan. Z ZAina Ryodxn Zo., LTD, Taipxi, Taiwan
^cDxpartPxnt of InduPtrial xnginxxring, UnivxrPity of PiPPouri-ZoluPbia, x3437G xnginxxring Building xaPt, ZoluPbia, PO 65211, U.P.A.

Abstract: Quality Function Deployment (QFD) is an integrated product design process involving all members of designers and customers. It is a method for mapping and prioritizing customer requirements into functional features and technical modules to optimize market performance. Although the quality of a product can be dramatically improved through a QFD exercise, the traditional crisp scoring approach has a major drawback. A wrong conclusion can be easily produced since the fuzzy nature of linguistic correlation terms from evaluation members is ignored. To overcome this problem, fuzzy scoring for linguistic terms is proposed in this paper. The implementation case of a low-end digital camera design shows that the result of the proposed fuzzy QFD model can reflect the certainty level of an evaluation term, which is designated for each correlation of customer requirements and technical requirements considered in design.

Keywords: quality; function; deployment; fuzzy; set theory; penalty concept; camera design.

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*Corresponding author; e-mail: cachang@showme.missouri.edu

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