• DocumentCode
    556831
  • Title

    Semiconductor manufacturing intelligence and key factor control mechanism for managing production cycle time

  • Author

    Chien, Chen-Fu ; Huang, Hung-Ya ; Chang, Kuo-Hao ; Lin, Yu-Cheng ; Liu, Tien-Hsian

  • fYear
    2011
  • fDate
    5-6 Sept. 2011
  • Firstpage
    1
  • Lastpage
    22
  • Abstract
    In the consumer era, the demand for more hot lots that enjoy differentiated cycle time service is increasing for semiconductor wafer fabrication. This study developed data mining techniques to explore the complex relationships between cycle times and related factors in a fab. Decision tree was constructed in manufacturing data mining to analyze key factor in the production cycle time. Using the IF THEN rules to control the factors. The explored patterns can support the decision making for managing production cycle time.
  • Keywords
    data mining; decision making; decision trees; production management; semiconductor industry; IF THEN rules; decision making; decision tree; differentiated cycle time service; key factor control mechanism; manufacturing data mining; production cycle time; semiconductor manufacturing intelligence; semiconductor wafer fabrication; Availability; Data mining; Decision trees; Fabrication; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Manufacturing (ISSM) and e-Manufacturing and Design Collaboration Symposium (eMDC), 2011 International Symposium on
  • Conference_Location
    Hsinchu
  • ISSN
    1523-553X
  • Print_ISBN
    978-1-4577-1647-8
  • Type

    conf

  • Filename
    6086058