• DocumentCode
    2352981
  • Title

    Improving SPC in a wafer fabrication environment

  • Author

    Aston, Dayna

  • Author_Institution
    Medtronic Micro-Rel, Tempe, AZ, USA
  • fYear
    1998
  • fDate
    19-21 Oct 1998
  • Firstpage
    346
  • Lastpage
    351
  • Abstract
    Statistical process control has been prevalent in American industries since the 1980s. However, following the textbook methodology for a wafer fab environment can lead to a system that causes much frustration. Proper SPC usage can be a very delicate issue. There are important issues of which to be aware, such as dealing with autocorrelated data, trying to control a nonstationary mean, and handling run-to-run variability versus within-run variability. This paper outlines one facility´s approach to re-evaluation of their SPC program in the wafer fab area and ways of approaching these issues
  • Keywords
    correlation methods; integrated circuit technology; integrated circuit yield; statistical process control; SPC; SPC program; SPC usage; autocorrelated data; nonstationary mean control; run-to-run variability; statistical process control; textbook SPC methodology; wafer fab environment; wafer fabrication environment; within-run variability; Autocorrelation; Biographies; Electrical equipment industry; Fabrication; Industrial control; Industrial engineering; Monitoring; Process control; Production systems; Quality management; Reliability engineering; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Manufacturing Technology Symposium, 1998. Twenty-Third IEEE/CPMT
  • Conference_Location
    Austin, TX
  • ISSN
    1089-8190
  • Print_ISBN
    0-7803-4523-1
  • Type

    conf

  • DOI
    10.1109/IEMT.1998.731092
  • Filename
    731092