• DocumentCode
    812832
  • Title

    Real-time statistical process control using tool data [semiconductor manufacturing]

  • Author

    Spanos, Costas J. ; Guo, Hai-Fang ; Miller, Alan ; Levine-Parrill, Joanne

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    5
  • Issue
    4
  • fYear
    1992
  • fDate
    11/1/1992 12:00:00 AM
  • Firstpage
    308
  • Lastpage
    318
  • Abstract
    A process monitoring scheme that takes advantage of real-time information in order to generate malfunction alarms is described. This is accomplished with the application of time-series filtering and multivariate statistical process control. This scheme is capable of generating alarms on a true real-time basis, while the wafer is still in the processing chamber. Several examples are presented with tool data collected from the SECSII port of single-wafer plasma etchers
  • Keywords
    computerised monitoring; integrated circuit manufacture; manufacturing data processing; real-time systems; semiconductor device manufacture; statistical analysis; statistical process control; SECSII port; SPC; malfunction alarms; multivariate statistical process control; process monitoring scheme; real-time information; semiconductor manufacturing; semiconductor wafers; single-wafer plasma etchers; time-series filtering; Condition monitoring; Conductors; Control charts; Filtering; Manufacturing processes; Plasma applications; Plasma temperature; Process control; Semiconductor device manufacture; Valves;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.175363
  • Filename
    175363