• DocumentCode
    1285524
  • Title

    A cluster-modified Poisson model for estimating defect density and yield

  • Author

    Ferris-Prabhu, Albert V.

  • Author_Institution
    IBM Gen. Technol. Div., Essex Junction, VT, USA
  • Volume
    3
  • Issue
    2
  • fYear
    1990
  • fDate
    5/1/1990 12:00:00 AM
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    A simple modification of the Poisson model that accounts for defect clustering when estimating the defect density and yield of a future product is described. The Poisson yield equation is easy to use and interpret, and the composite model can be extended to a layered model without the difficulties associated with, for example, the negative binomial model. The advantage of the method is that the Poisson model, to which all yield models reduce as yields increase, can continue to be used with less effort than, more convenience than, and at least as good accuracy as other more complicated models
  • Keywords
    circuit reliability; integrated circuit manufacture; quality control; semiconductor device manufacture; statistical analysis; Poisson yield equation; cluster-modified Poisson model; composite model; defect clustering; defect density estimation; layered model; statistical model; yield estimation algorithm; yield models; Failure analysis; Manufacturing; Poisson equations; Semiconductor devices; Testing; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.53187
  • Filename
    53187