• DocumentCode
    2773664
  • Title

    Approach to Introducing a Statistical Quality Control

  • Author

    Nakamura, Nobuhiro ; Takahashi, Satoru ; Kusumoto, Shinji ; Nakatsuka, Kousuke

  • Author_Institution
    Inf. Syst. Div., Sumitomo Electr. Ind., Ltd., Osaka, Japan
  • fYear
    2011
  • fDate
    3-4 Nov. 2011
  • Firstpage
    297
  • Lastpage
    301
  • Abstract
    This paper describes some examples and points about implementing a statistical quality control in developing business systems in Sumitomo Electric Industries, Ltd. and Sumitomo Electric Information Systems Co., Ltd. Although the X-R chart is often used in statistical quality control, it is recommended to introduce the u-chart if defects are to be controlled in future. If a defect detection process such as a review or a test does not reach a statistical steady state that indicates a process is stable on the control chart, an appropriate control could be conducted by not only further standardizing the process, but also reviewing the definition of size indicators. Quality prediction can be made possible by accumulating defect data collected to create a control chart and analyzing the distributions of introduced defect densities at an organization level. If the accuracy of quality prediction is low, it can be enhanced by carrying out improvements to narrow the widths of distributions of introduced defect densities.
  • Keywords
    control charts; electronics industry; quality control; statistics; Sumitomo Electric Industries Limited; Sumitomo Electric Information Systems Company Limited; X-R chart; business system; defect detection process; quality prediction; size indicator; statistical quality control; u-chart; Accuracy; Control charts; Java; Organizations; Process control; Quality control; Standards organizations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Measurement, 2011 Joint Conference of the 21st Int'l Workshop on and 6th Int'l Conference on Software Process and Product Measurement (IWSM-MENSURA)
  • Conference_Location
    Nara
  • Print_ISBN
    978-1-4577-1930-1
  • Type

    conf

  • DOI
    10.1109/IWSM-MENSURA.2011.25
  • Filename
    6113076