• DocumentCode
    2960863
  • Title

    Non-normal CV Control Charts

  • Author

    Baek, Jae-Won ; Kang, Chang W. ; Oh, Jong-Min ; Baek, Dong-Hyun ; Song, Chang-Yong

  • Author_Institution
    Dept. of Ind. Eng., Hanyang Univ., Seoul
  • Volume
    2
  • fYear
    2006
  • fDate
    21-23 June 2006
  • Firstpage
    778
  • Lastpage
    782
  • Abstract
    The coefficient of variation (CV) of a population is defined as the ratio of the population standard deviation to the population mean. It is regarded as a measure of stability or uncertainty, and can indicate the relative dispersion of data in the population to the population mean. CV is a dimensionless measure of scatter or dispersion and is readily interpretable, as opposed to other commonly used measures such as standard deviation, mean absolute deviation. CV is often estimated by the ratio of the sample standard deviation to the sample mean, called the sample CV. In this paper, we propose statistical properties of CV for non-normal data and design of non-normal CV control charts based on non-normal distribution. The proposed control charts are effective methods to monitor the process variation
  • Keywords
    control charts; statistical process control; coefficient of variation; mean absolute deviation; nonnormal CV control charts; population standard deviation; process variation; statistical process control; Control charts; Dispersion; Gaussian distribution; Industrial engineering; Measurement standards; Monitoring; Production; Scattering; Stability; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology, 2006 IEEE International Conference on
  • Conference_Location
    Singapore, China
  • Print_ISBN
    1-4244-0147-X
  • Electronic_ISBN
    1-4244-0148-8
  • Type

    conf

  • DOI
    10.1109/ICMIT.2006.262326
  • Filename
    4037124