• DocumentCode
    1953621
  • Title

    Yield and defect level prediction of designed printed circuit board assembly based on DPMO metric

  • Author

    Soukup, Radek

  • Author_Institution
    Dept. of Technol. & Meas., Univ. of West Bohemia, Pilsen, Czech Republic
  • fYear
    2011
  • fDate
    11-15 May 2011
  • Firstpage
    162
  • Lastpage
    167
  • Abstract
    In this paper a new prediction tool is presented, which can provide both yield and defect level predictions. The tool, which is based on DPMO (defects per million opportunities) metric, is intended for newly designed printed circuit board assemblies. It is programmed in Visual Basic for Application (VBA) and it can be operated in MS Excel environment. Yield prediction is based on so called the yield-DPMO model that is an extension of the yield prediction model, which was created in my dissertation and published in the paper [1]. The yield-DPMO model provides more outputs for quality planners then yield prediction model. The defect level prediction is based on the so called the “defect level-DPMO” model, which works on the basis of complexity based estimate, where from inputs data are determined the defect spectrums and tests coverage. The advantage of DPMO is the fact that it is fully comparable metric and it is not associated only with the certain manufacturing line. Thanks to this tool is possible to predict defect level, manufacturing yield, analyze and assess test strategy alternatives by using the estimated defects.
  • Keywords
    Visual BASIC; assembling; printed circuit design; printed circuit manufacture; printed circuits; spreadsheet programs; DPMO metric; MS Excel environment; VBA; Visual Basic for Application; defect level prediction; defects per million opportunities metric; printed circuit board assembly; yield level prediction; Assembly; Bills of materials; Inspection; Measurement; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Technology (ISSE), 2011 34th International Spring Seminar on
  • Conference_Location
    Tratanska Lomnica
  • ISSN
    2161-2528
  • Print_ISBN
    978-1-4577-2111-3
  • Type

    conf

  • DOI
    10.1109/ISSE.2011.6053570
  • Filename
    6053570