• DocumentCode
    1942993
  • 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
  • fYear
    2008
  • fDate
    28-29 Sept. 2008
  • Firstpage
    1
  • Lastpage
    3
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/AMIGE.2008.ECP.74
  • Filename
    4721516