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Using grey theory in quality function deployment to analyse dynamic customer requirements

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Abstract

A proposed model of using grey theory in quality function deployment to analyse dynamic and future customer requirements based upon historical, present and predicted data sets is presented. With the use of the proposed model, the importance of each customer requirement is monitored and analysed and the importance of each technical measure is evaluated in order to fulfil dynamic and future customer needs. Doing so would allow companies to plan customer requirements in advance, fulfil their needs, and, most importantly, significantly improve customer satisfaction and enhance their competitiveness in the marketplace.

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References

  1. Kondo Y (2001) Customer satisfaction: how can I measure it? Total Qual Manage Business Excell 12(7–8):867–872

    Google Scholar 

  2. Gryna FM (2001) Quality planning and analysis: from product development through use. McGraw-Hill, New York

    Google Scholar 

  3. Chan LK, Wu ML (2002) Quality function deployment: a literature review. Eur J Oper Res 143:463–497

    Article  Google Scholar 

  4. Shen X-X, Xie M, Tan K-C (2001) Listening to the future voice of the customer using fuzzy trend analysis in QFD. Qual Eng 13(3): 419–425

    Article  Google Scholar 

  5. Lin Z-C, Lin WS (2001) The application of grey theory to the prediction of measurement points for circularity geometric tolerance. Int J Adv Manuf Technol 17:348–360

    Article  Google Scholar 

  6. Akao Y (1990) Quality function deployment: integrating customer requirements into product design. Productivity Press, Cambridge, MA

    Google Scholar 

  7. Hauser JR, Clausing D (1988) The house of quality. Harvard Business Rev 66(3):63–73

    Google Scholar 

  8. Chan LK, Wu ML (2002–2003) Quality function deployment: a comprehensive review of its concepts and methods. Qual Eng 15(1):23–35

    Article  Google Scholar 

  9. Griffin A, Hauser JR (1993) The voice of the customer. Market Sci 12(1):1–27

    Article  Google Scholar 

  10. Chan LK, Kao HP, Ng A, Wu ML (1999) Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods. Int J Prod Res 37(11):2499–2518

    Article  Google Scholar 

  11. Khoo LP, Ho NC (1996) Framework of a fuzzy quality function deployment system. Int J Prod Res 34(2):299–311

    Article  Google Scholar 

  12. Deng J (1982) Control problems of grey systems. Sys Control Lett 5(2):288–294

    Google Scholar 

  13. Chiou H-K, Tzeng C-H (2001) Fuzzy hierarchical evaluation with grey relation model of green engineering for industry. Int J Fuzzy Sys 3(3):466–476

    Google Scholar 

  14. Kuo T-C and Wu H-H (2001) Using a green quality function deployment to develop green products. In: Proceedings of the international conference on production research, Prague, Czech Republic, 30 July–1 August 2001, 0189

  15. Lin Z-C, Ho C-Y (2003) Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. Int J Adv Manuf Technol 21:10–14

    Article  Google Scholar 

  16. Tzeng GH, Tasur SH (1994) The multiple criteria evaluation of grey relation model. J Grey Sys 6(2):87–108

    Google Scholar 

  17. Wu H-H (2002) Implementing grey relational analysis in quality function deployment to strengthen multiple attribute decision making processes. J Qual 9(2):19–39

    Google Scholar 

  18. Wu H-H (2002–2003) A comparative study of using grey relational analysis in multiple attribute decision making problems. Qual Eng 15(2):209–217

    Article  Google Scholar 

  19. Lin Y-H (2002) Application of smoothing technique on GM(1,1) for forecasting system. Master’s Thesis, Department of Industrial Engineering, Da Yeh University, Taiwan

Download references

Author information

Authors and Affiliations

  1. Department of Information Management, Taichung Healthcare and Management University, No. 500 Lioufeng Road, Wufeng Shiang Taichung, Taiwan, 413

    H.-H. Wu

  2. Department of Information Management, Taichung Healthcare and Management University, Taiwan

    A.Y.H. Liao

  3. Graduate Institute of Information Technology , Taichung Healthcare and Management University, Taiwan

    P.-C. Wang

Authors
  1. H.-H. Wu
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  2. A.Y.H. Liao
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  3. P.-C. Wang
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Corresponding author

Correspondence to H.-H. Wu.

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Wu, HH., Liao, A. & Wang, PC. Using grey theory in quality function deployment to analyse dynamic customer requirements. Int J Adv Manuf Technol 25, 1241–1247 (2005). https://doi.org/10.1007/s00170-003-1948-8

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  • DOI: https://doi.org/10.1007/s00170-003-1948-8

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