• DocumentCode
    3239288
  • Title

    Excursion detection and source isolation in defect inspection and classification [VLSI manufacture]

  • Author

    Shindo, Wataru ; Wang, Eric H. ; Akella, Ram ; Strojwas, Andrzej J.

  • Author_Institution
    Tohoku Univ., Sendai, Japan
  • fYear
    1997
  • fDate
    35589
  • Firstpage
    90
  • Lastpage
    93
  • Abstract
    In-line monitoring of defects in VLSI manufacturing has become an indispensable tool in SPC (Statistical Process Control) and Yield Management. Wafer inspection for defects has two stages: optical wafer scanning to detect the presence of defects; and review/classification performed at the coordinates of the scanned defect to determine the defect type (for instance, shorts or opens). Typically, fabs use standard control charts, based on total defect count monitoring. However, many fabs have found this aggregate tracking of defects to be inadequate for efficient excursion or drift detection. In this paper, we demonstrate how defect type information can be utilized to optimize the excursion detection procedure. In addition, we also demonstrate how the defect type information can be useful for source identification
  • Keywords
    VLSI; inspection; integrated circuit yield; monitoring; SPC; VLSI manufacturing; defect classification; defect inspection; defect type information; drift detection; excursion detection; in-line monitoring; optical wafer scanning; source identification; source isolation; statistical process control; wafer inspection; yield management; Aggregates; Control charts; Data analysis; Fabrication; Inspection; Manufacturing processes; Monitoring; Personnel; Process control; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Metrology, 1997 2nd International Workshop on
  • Conference_Location
    Kyoto
  • Print_ISBN
    0-7803-3737-9
  • Type

    conf

  • DOI
    10.1109/IWSTM.1997.629421
  • Filename
    629421