International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Ming-Chyuan Lina, Chieh-Yuan Tsaib, Chao-Chun Chengc, and C. Alec Changd*

a Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan
b Department of Industrial Engineering and Management, Yuan-Ze University, Taoyuan, Taiwan.
c China Ryoden Co., LTD, Taipei, Taiwan
d Department of Industrial Engineering, University of Missouri-Columbia, E3437G Engineering Building East, Columbia, MO 65211, U.S.A.


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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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REFERENCES


[1] Boydston, Ken. 2000. Digital decision: Consideration in high end digital camera design. Proceedings, Image Processing, Image Quality, Image Capture and Systems Conference, Society for Imaging Science and Technology: 47-49.

[2] Chang, C. A. 1989. Quality function deployment (QFD) processes in an integrated quality information system. Computers and Industrial Engineering, 17, 1-4: 311-316.

[3] Chen, S. J, Hwang, C. L. and Hwang, F. P. 1992. Fuzzy Multiple Attribute Decision Making: Methods and Applications, Spring-Verlag, New York.

[4] Dean, E. B. Quality Function Deployment for Large Systems. International Engineering Management Conference: Managing in Global Environment: 317-321.

[5] Grotta, Sally. Wiener. 2001. Anatomy of a digital camera. Technical Paper, Extremetech.

[6] Guinta, L. R. and Praizler, N. C. 1993. The QFD book, AMACOM Distributed by Quality Resources, New York.

[7] Harrison, Chandra M. 2003. A user-centred approach to digital camera design, Technical Papers, Human Interface Technology Laboratory, University of Cantebury, New Zealand.

[8] Henshall, John, Andrews, B., Boyston, K., Colette, M., Edwards, E., Haworth, T., Jameson, P., Steenberg, C., and Wiseman, B. 1998. Digital camera design and philosophy, part 1, Monograph, Seybold Seminars, New York Publishing.

[9] Khoo, L. P. and Ho, N. C. 1996. Framework of a fuzzy quality function deployment system, International Journal of Production Research, 34, 2: 299-311.

[10] King, B. 1989. Better Design in Half the Time, GOAL/QPC, Methuen, MA.

[11] Liao, T. W. 1996. A fuzzy multicriteria decision-making method for material selection, Journal of Manufacturing System, 15, 1: 1 -12.

[12] Liou, T. S. and Wang, M. J. 1992 Ranking fuzzy numbers with integral value, Fuzzy Sets and Systems, 50: 247-255.

[13] Locascio, A. and Thurston, D. L. 1993. Multiattribute design Optimization with Quality Function Deployment, 2nd Industrial Engineering Research Conference Proceedings: 82-86.

[14] Maier, M. W. 1993. Performance analysis, Quality Function Deployment and Structured Methods, IEEE Aerospace Applications Conference: 187-195.

[15] Masud, A. S. M. and Dean, E. B. 1993. Using Fuzzy Set in Quality Function Deployment, 2nd Industrial Engineering Research Conference Proceedings: 270-274.

[16] Perry, S. 1992. Real-Life, Reusable QFD, Electro/92 Conference Record, 3: 27-30.

[17] Sugikubo, Toshihiro. 2002. Sound design for digital camera, Technical Paper, Canon Inc. Quality Engineering Center, Japan.

[18] Yoshida, Junko. 2004. MIPS to focus on digital camera market, Technical Paper, EE Times.

[19] Wasserman, G. S. 1993. On How to Prioritize Design Requirements During The QFD Planning Process, IIE Transactions, 25, n3: 59-65.

[20] Zadeh, L. A. 1965. Fuzzy Sets, Information and Control, 8: 338-353.


ARTICLE INFORMATION




Accepted: 2004-08-11
Available Online: 2004-12-02


Cite this article:

Lin, M.-C., Tsai, C.-Y., Cheng, C.-C., Chang, C.A. 2004. Using fuzzy QFD for design of Low-end digital camera, International Journal of Applied Science and Engineering, 2, https://doi.org/10.6703/IJASE.2004.2(3).222