A novel fuzzy group decision-making approach to prioritising engineering characteristics in QFD under uncertainties

International Journal of Production Research

Volumn 49, Issue 19, 2011, Pages 5801-5820

  Kwong, C K ^a   Ye, Y ^a,b   Chen, Y ^b   Choy, K L ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b SHANGHAI UNIVERSITY   (China)

Author keywords

consensus ordinal ranking; engineering characteristics; fuzzy group decision making; fuzzy weighted average; quality function deployment

Indexed keywords

ENGINEERING CHARACTERISTICS; FUZZY GROUPS; FUZZY WEIGHTED AVERAGE; ORDINAL RANKING; QUALITY FUNCTION;

FUZZY SETS; PRODUCT DEVELOPMENT; QUALITY CONTROL; QUALITY FUNCTION DEPLOYMENT; STATISTICAL METHODS;

DECISION MAKING;

EID: 80051727814     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2010.520043     Document Type: Article

References (24)

1. Büyüközkan, G., Feyzioǧ lu, O., and Ruan, D., 2007. Fuzzy group decision-making to multiple preference formats in quality function deployment. Computers in Industry, 58 (5), 392-402. (Pubitemid 46590425)
2. Chen, Y., et al., 2004. Fuzzy regression-based mathematical programming model for quality function deployment. International Journal of Production Research, 42 (5), 1009-1027.
3. Chen, Y., Fung, R.Y.K., and Tang, J.F., 2006. Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator. European Journal of Operational Research, 174 (3), 1553-1556.
4. Cook, W.D., 2006. Distance-based and ad hoc consensus models in ordinal preference ranking. European Journal of Operational Research, 172 (2), 369-385. (Pubitemid 43332978)
5. Ertay, T., Kahraman, G.C., and Ruan, D., 2005. Quality function deployment implementation based on analytic network process with linguistic data: an application in automotive industry. Journal of Intelligent & Fuzzy Systems, 16 (3), 221-232. (Pubitemid 41344454)
6. Ho, E.S., Lai, Y.J., and Chang, S.I, 1999. An integrated group decision-making approach to quality function deployment. IIE Transactions, 31 (6), 553-567.
7. Kahraman, C., Ertay, T., and Büyüközkan, S.I, 2006. A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171 (2), 390-411. (Pubitemid 41706205)
8. Kwong, C.K., et al., 2007. A methodology of determining aggregated importance of engineering characteristics in QFD. Computers & Industrial Engineering, 53 (4), 667-679. (Pubitemid 47588650)
9. Kao, C. and Liu, S.T., 2001. Fractional programming approach to fuzzy weighted average. Fuzzy Sets and Systems, 120 (3), 435-444. (Pubitemid 32372297)
10. 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. (Pubitemid 126519749)
11. Kim, D.H. and Kim, K.J., 2009. Robustness indices and robust prioritization in QFD. Expert Systems with Applications, 36 (2), 2651-2658.
12. Kim, K., Kim, K.J., and Min, D., 2006. Robust QFD: framework and a case study. Quality and Reliability Engineering International, 23 (1), 31-44.
13. Liu, C.H., 2009. A fuzzy group decision-making model with risk-taking attitudes in quality function deployment. Journal of Intelligent and Fuzzy Systems, 20 (6), 211-224.
14. Liu, S.T., 2005. Rating design requirements in fuzzy quality function deployment via a mathematical programming approach. International Journal of Production Research, 43 (3), 497-513.
15. Luggen, W.W., 1990. Flexible manufacturing cells and systems. Englewood Cliffs, NJ: Prentice Hall.
16. Shen, X.X., Tan, K.C., and Xie, M., 2001. The implementation of quality function deployment based on linguistic data. Journal of Intelligent Manufacturing, 12 (1), 65-75. (Pubitemid 32380336)
17. Vairaktarakis, G.L., 1999. Optimization tools for design and marketing of new/improved products using the house of quality. Journal of Operations Management, 17 (6), 645-663. (Pubitemid 129591351)
18. Wang, J., 1999. Fuzzy outranking approach to prioritize design requirements in quality function deployment. International Journal of Production Research, 37 (4), 899-916.
19. Wang, R.C. and Chuu, S.J., 2004. Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system. European Journal of Operational Research, 154 (3), 563-572.
20. Wang, S.Y., 2010. Constructing the complete linguistic-based and gap-oriented quality function deployment. Expert Systems with Applications, 37 (2), 908-912.
21. Zadeh, L.A., 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1 (1), 3-28.
22. Zhang, Z.F. and Chu, X.N., 2009. Fuzzy group decision-making for multi-format and multigranularity linguistic judgments in quality function deployment. Expert Systems with Applications, 36 (5), 9150-9158.
23. Zhou, M., 1998. Fuzzy logic and optimization models for implementing QFD. Computers and Industrial Engineering, 35 (1-2), 237-240. (Pubitemid 128457129)
24. Zimmermann, H.J., 1996. Fuzzy set theory and its applications. London: Kluwer Academic.