• DocumentCode
    2387066
  • Title

    Yield analysis and improvement by reducing manufacturing fluctuation noise

  • Author

    Tsuda, Hidetaka ; Shirai, Hidehiro ; Takagi, Osamu ; Take, Riichiro

  • Author_Institution
    CIM Div., Fujitsu LSI Technol. Ltd., Kawasaki, Japan
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    There are various types of failures and their causes intertwined one another complicatedly. Therefore, we need to recognize timely what any kind of failure causes affect to total yield quantitatively to decide the countermeasures for yield improvement. Collected data for data analysis involve the noise with various influences. For example, analyzing all collected data always does not bring us precious correlation between the collected data. We prefer to adapt a new method to get more precious information. We have got many success stories for yield improvement by data mining which is one of the statistical methods, now we have succeeded in developing a method to clarify the correlation between yield and various wafer parametrical data value, because the data can be extracted to reduce the influence of the manufacturing fluctuation automatically.
  • Keywords
    data analysis; data mining; failure analysis; fluctuations; integrated circuit manufacture; integrated circuit measurement; integrated circuit noise; integrated circuit reliability; integrated circuit testing; integrated circuit yield; countermeasures; data analysis; data mining; failures; manufacturing fluctuation noise reduction; wafer parametrical data value; yield analysis; yield improvement; Computer integrated manufacturing; Data analysis; Data mining; Failure analysis; Fluctuations; Large scale integration; Noise reduction; Scattering; Semiconductor device noise; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Manufacturing, 2000. Proceedings of ISSM 2000. The Ninth International Symposium on
  • ISSN
    1523-553X
  • Print_ISBN
    0-7803-7392-8
  • Type

    conf

  • DOI
    10.1109/ISSM.2000.993660
  • Filename
    993660