• DocumentCode
    1368696
  • Title

    Application of non-normal process capability indices to semiconductor quality control

  • Author

    Bittanti, Sergio ; Lovera, Marco ; Moiraghi, Luca

  • Author_Institution
    Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
  • Volume
    11
  • Issue
    2
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    296
  • Lastpage
    303
  • Abstract
    The definition and estimation of process capability indices are usually based on the assumption that the production process under investigation is characterized by a normal distribution; however, the case of nonnormal processes occurs frequently in practice, as, for example, in the semiconductor industry. This paper addresses the problem of defining and computing reliable estimates for process capability indices (and particularly for Cpk) for nonnormal processes; in particular, a curve-fitting approach to the estimation problem is taken and the problem of providing confidence intervals for the estimates of PCI´s is considered. Finally, some application examples are also presented
  • Keywords
    curve fitting; estimation theory; integrated circuit manufacture; quality control; semiconductor device manufacture; statistical process control; Cpk; SPC; confidence intervals; curve-fitting approach; estimation problem; nonnormal process capability indices; nonnormal processes; production process; semiconductor quality control; Curve fitting; Electronics industry; Gaussian distribution; Industrial control; Joining materials; Monitoring; Process control; Production; Quality control; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.670179
  • Filename
    670179