• DocumentCode
    2277171
  • Title

    Predictive sampling approach to dynamically optimize defect density control operations

  • Author

    Pfeffer, M. ; Oechsner, R. ; Pfitzner, L. ; Eckert, S. ; Hartmann, A. ; Gold, H. ; Biebl, G. ; Kaspar, J.

  • Author_Institution
    Fraunhofer IISB, Erlangen, Germany
  • fYear
    2012
  • fDate
    15-17 May 2012
  • Firstpage
    365
  • Lastpage
    370
  • Abstract
    Semiconductor manufacturing is a highly complex value-adding process, which is facing an extreme cost pressure. Currently a manufacturing cost reduction of 15 % per year has to be achieved by increased equipment and fab productivity. One contribution for achieving a cost reduction in semiconductor manufacturing is to reduce the effort for defect density control operations. In this paper, the basic concept and the main functionality of a predictive sampling concept will be described. A comprehensive overview of results using real historical data from several Infineon IC manufacturing sites will be presented and discussed. The application of the developed predictive sampling strategy provides an optimized tool control or technology control and a reduced effort for defect density control operations.
  • Keywords
    cost reduction; quality control; sampling methods; semiconductor device manufacture; Infineon IC manufacturing sites; defect density control operations; manufacturing cost reduction; predictive sampling approach; semiconductor manufacturing; technology control; value adding process; Manufacturing; Metrology; Prediction algorithms; Process control; Prototypes; Semiconductor device modeling; Time measurement; cost reduction; predictive; productivity; sampling; wafer@risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference (ASMC), 2012 23rd Annual SEMI
  • Conference_Location
    Saratoga Springs, NY
  • ISSN
    1078-8743
  • Print_ISBN
    978-1-4673-0350-7
  • Type

    conf

  • DOI
    10.1109/ASMC.2012.6212928
  • Filename
    6212928