• DocumentCode
    534804
  • Title

    A Weighting Multivariate Process Capability Index

  • Author

    Wang Shaoxi

  • Author_Institution
    Coll. of Software & Microelectron., Northwestern Polytech. Univ., Xi´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    12-14 Nov. 2010
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Process quality ultimately decides on the quality of electronic products. Based on analyzing and improving process capability index (PCI), microelectronics process quality of electronic products may be effectively assured. Nowadays with the rapid development in microelectronics process, Quality evaluation of processes concerns more than one quality characteristics, microelectronics process quality evaluation concerns multi quality characteristics, therefore univariate PCI is difficultly used to synthetically analyze microelectronics process quality. The paper presents a multivariate PCI based on weight factor, which provides references for assuring and improving process quality while achieving overall evaluation of process quality and is not limited to the variable number. An example of calculating multivariate PCI (MPCI) is given. Real application shows that the method presented is effective and actual.
  • Keywords
    electronic products; integrated circuit manufacture; process capability analysis; quality control; statistical analysis; electronic product; microelectronic process quality; weight factor; weighting multivariate process capability index; Correlation; Covariance matrix; Fluctuations; Indexes; Microelectronics; Reliability engineering; Symmetric matrices; factor weight; multivariate; process capability index; quality characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8664-9
  • Type

    conf

  • DOI
    10.1109/ICSEM.2010.11
  • Filename
    5640128