Title :
Multi-Response Robust Optimization Using Desirability Function
Author :
Jing Wang ; Zhen He ; Jin-Ho Oh ; Sung-Hyun Park
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin
Abstract :
Among developing industrialized countries, under the trend of industrial globalization, multinational enterprises give more attention to the quality issue of the products. Response optimization is the goal of much design of experiment which is one of the most important tools in modern quality engineering. Desirability function approach is the most popular method for the multi-response optimization problem. However, the consideration of robustness is usually ignored in this method. This paper presents a robust desirability function for the multi-response robust optimization. And its practical application is illustrated with the data set from an example from previously published articles.
Keywords :
design of experiments; globalisation; product design; quality management; design of experiment; desirability function; industrial globalization; modern quality engineering; multinational enterprises; multiresponse robust optimization; product quality issue; Design engineering; Design optimization; Fluctuations; Globalization; Helium; Input variables; Optimization methods; Quality management; Robustness; Statistics;
Conference_Titel :
Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-3694-1
Electronic_ISBN :
978-1-4244-2972-1
DOI :
10.1109/AMIGE.2008.ECP.74