IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v52y2023i9p2882-2916.html
   My bibliography  Save this article

The quadruple moving average control chart for monitoring the process mean

Author

Listed:
  • Vasileios Alevizakos
  • Kashinath Chatterjee
  • Christos Koukouvinos

Abstract

The moving average (MA) control chart is a memory-type scheme and effective for monitoring small and moderate shifts in the process mean. Several modifications of the MA chart, such as the double MA (DMA) and the triple MA (TMA) charts, have been introduced to improve the detection ability of the MA chart. In the present article, we propose the quadruple MA (QMA) chart for normally distributed data to improve much more the performance of the MA chart for small shifts. Comparing with the existing MA, DMA, TMA, EWMA and DEWMA charts, it is shown that the proposed chart is more effective for small shifts. Furthermore, it is found that the QMA chart is more in-control (IC) robust to non normality than its competitors. Finally, an illustrative example is provided to demonstrate the application of the proposed chart.

Suggested Citation

  • Vasileios Alevizakos & Kashinath Chatterjee & Christos Koukouvinos, 2023. "The quadruple moving average control chart for monitoring the process mean," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(9), pages 2882-2916, May.
  • Handle: RePEc:taf:lstaxx:v:52:y:2023:i:9:p:2882-2916
    DOI: 10.1080/03610926.2021.1962351
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2021.1962351
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2021.1962351?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    More about this item

    Statistics

    Access and download statistics

    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:taf:lstaxx:v:52:y:2023:i:9:p:2882-2916. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.