• DocumentCode
    2969750
  • Title

    A pre-alarm system for visual fatigue in an IC packaging factory

  • Author

    Lin, Jhih-Tsong ; Liang, Guo-Feng ; Hwang, Sheue-Ling ; Wang, Eric Min-Yang

  • Author_Institution
    Dept. of Ind. Eng. & Eng. Manage., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    2029
  • Lastpage
    2033
  • Abstract
    Before shipping the product to customer, maintenance is a back-end department of integrated circuit (IC) production, and yield rate measures whether the product batch is accepted or not. A correlation analysis showed a positive relationship between yield rate and visual fatigue, so reducing visual fatigue can improve operators´ comfort as well as the yield rate. In this study, Group Method and Data Handling (GMDH) of neural network was applied to build a visual fatigue prediction model which was implemented in the maintenance section of an IC packaging factory. The implementation result showed that visual fatigue was reduced, and yield rate also improved simultaneously.
  • Keywords
    data handling; eye; human factors; integrated circuit manufacture; integrated circuit packaging; neural nets; personnel; quality control; visual perception; IC packaging factory; correlation analysis; data handling; group method; integrated circuit production; maintenance section; neural network; operator comfort; pre-alarm system; visual fatigue prediction model; Data handling; Fatigue; Integrated circuit packaging; Integrated circuit yield; Maintenance; Neural networks; Power system modeling; Predictive models; Production facilities; Retina; CFF; GMDH; IC packaging plant; visual fatigue; yield rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373200
  • Filename
    5373200