IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v32y2021i1p72-91.html
   My bibliography  Save this article

On bivariate control charts for the mean of autocorrelated process

Author

Listed:
  • Vahideh Gorgin
  • Bahram Sadeghpour Gildeh
  • Majid Sarmad
  • Mohammad Amini

Abstract

The major problem in analysing control charts is to work with autocorrelated data. This problem can be solved by fitting a suitable model to data and using the control chart for the residuals. In most papers, the average run length (ARL) criterion has been used to evaluate the effect of autocorrelation on the performance of control chart. But, in this paper, we compare the efficiency of standardised and modified control charts with residuals charts in identifying changes in the mean process in the presence of autocorrelation using the false positive rate and the false negative rate criteria, and also the comparison between the results of this criterion and the results of ARL criterion is discussed.

Suggested Citation

  • Vahideh Gorgin & Bahram Sadeghpour Gildeh & Majid Sarmad & Mohammad Amini, 2021. "On bivariate control charts for the mean of autocorrelated process," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 32(1), pages 72-91.
    • Handle: RePEc:ids:ijpqma:v:32:y:2021:i:1:p:72-91
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=112010
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijpqma:v:32:y:2021:i:1:p:72-91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.