Using fuzzy and grey theory to improve green design in QFD processes

  • Authors:
  • Chih-Hung Hsu;Tzu-Yuan Lee;Wei-Yin Lu;Jun-Jia Lin;Hai-Fen Lin

  • Affiliations:
  • Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.;Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.;Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.;Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.;Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.

  • Venue:
  • FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.01

Visualization

Abstract

The green life cycle design is critical issue for improving bicycle design. Quality function deployment has been successfully applied in a number of fields. However, little study has been done in the integrated approach involving grey relational analysis, fuzzy integral, fuzzy theory of analyzing the necessary quality characteristics for the bicycle design in the design process. The proposed method transforms the process design, usage, package, and abortion in different stages into product's design characteristics applying techniques form grey relational analysis, fuzzy integral, fuzzy theory to insight the voices of customers. Questionnaire is used to get the necessary data in this study. The results showed that the important attributes for consumers. Several important and unimportant technical characteristics and customer attributes were identified and analyzed. The results of this study can provide an effective procedure for improving product's design characteristics, enhancing customer satisfaction and green design for bicycle in the marketplace.