TY - GEN
T1 - Study methods of design elements based on egm and fuzzy QFD
AU - Shuofang, Liu
AU - Yang, Zhang
AU - Yuchung, Lai
AU - Minghong, Wang
PY - 2018/11/9
Y1 - 2018/11/9
N2 - Design is an interdisciplinary subject, therefore the process of design has a certain complexity. But how to quantify and specify design elements in the process is a considerable question. In the study, based on the evaluation grid method (EGM) and Fuzzy quality function deployment (QFD), taking the design of cultural and creative products as an example, we explored the importance of customer requirements and design elements and the correlation among various design elements. In this study, the combination of EGM and Fuzzy QFD could avoid their respective defects. Firstly, we used the EGM to collect and analyze customer requirements and design elements. Secondly, we calculated the weight values of the customer requirements with the analytic hierarchy process (AHP). Thirdly, we established the fuzzy relation matrix between customer requirements and design elements. In addition, the importance of design elements was calculated based on the fuzzy theory.
AB - Design is an interdisciplinary subject, therefore the process of design has a certain complexity. But how to quantify and specify design elements in the process is a considerable question. In the study, based on the evaluation grid method (EGM) and Fuzzy quality function deployment (QFD), taking the design of cultural and creative products as an example, we explored the importance of customer requirements and design elements and the correlation among various design elements. In this study, the combination of EGM and Fuzzy QFD could avoid their respective defects. Firstly, we used the EGM to collect and analyze customer requirements and design elements. Secondly, we calculated the weight values of the customer requirements with the analytic hierarchy process (AHP). Thirdly, we established the fuzzy relation matrix between customer requirements and design elements. In addition, the importance of design elements was calculated based on the fuzzy theory.
UR - http://www.scopus.com/inward/record.url?scp=85058400806&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058400806&partnerID=8YFLogxK
U2 - 10.1109/ESAIC.2018.00026
DO - 10.1109/ESAIC.2018.00026
M3 - Conference contribution
AN - SCOPUS:85058400806
T3 - Proceedings - 2018 International Conference on Engineering Simulation and Intelligent Control, ESAIC 2018
SP - 83
EP - 86
BT - Proceedings - 2018 International Conference on Engineering Simulation and Intelligent Control, ESAIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Engineering Simulation and Intelligent Control, ESAIC 2018
Y2 - 10 August 2018 through 11 August 2018
ER -