• DocumentCode
    330599
  • Title

    Defect control using an automatic killer defect selection method

  • Author

    Yoshitake, Yasuhiro ; Maeda, Shunji ; Watanabe, Kenji

  • Author_Institution
    Production Eng. Res. Lab., Hitachi Ltd., Yokohama, Japan
  • fYear
    1998
  • fDate
    35953
  • Firstpage
    32
  • Lastpage
    35
  • Abstract
    In LSI mass production lines, it is very important to improve the detection accuracy of fatal excursions in defect trend charts in order to ramp up quickly and maintain good yield. It is for this reason that killer defects which could cause device faults should be monitored. We have developed an automatic killer defect selection (AKIDS) method to assist and improve the accuracy of this process. This method judges defects as killer or nonkiller by comparing defect sizes against killer defect judgement criteria. We applied AKIDS in the defect QC and sampling review processes, and found it to be effective in both detecting fatal excursions and selecting good review points for identifying the source of device faults
  • Keywords
    fault location; integrated circuit measurement; integrated circuit reliability; integrated circuit yield; large scale integration; quality control; AKIDS method; LSI mass production lines; LSI yield; automatic killer defect selection method; defect QC process; defect control; defect trend charts; device fault source identification; device faults; fatal defect excursion trend detection; fatal excursion detection; killer defect judgement criteria; killer defects; nonkiller defects; review point selection; sampling review process; Automatic control; Circuit faults; Fault detection; Inspection; Instruments; Large scale integration; Monitoring; Probes; Sampling methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Metrology, 1998. 3rd International Workshop on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-4338-7
  • Type

    conf

  • DOI
    10.1109/IWSTM.1998.729763
  • Filename
    729763