IDEAS home Printed from https://ideas.repec.org/a/ids/ijdmmm/v11y2019i1p19-44.html
   My bibliography  Save this article

A new development of an adaptive X − R control chart under a fuzzy environment

Author

Listed:
  • Hamed Sabahno
  • Seyed Meysam Mousavi
  • Amirhossein Amiri

Abstract

It is proved that adaptive control charts have better performance than classical control charts due to adaptability of some or all of their parameters to the previous process information. Fuzzy classical control charts have been occasionally considered by many researchers in the last two decades; however, fuzzy adaptive control charts have not been investigated. In this paper, we introduce a new adaptive X − R fuzzy control chart that allows all of the charts' parameters to adapt based on the process state in the previous sample. Also, the warning limits are redefined in the fuzzy environments. We utilise fuzzy mode defuzzification technique to design the decision procedure in the proposed fuzzy adaptive control chart. Finally, an illustrative example is used to present the application of the proposed control chart.

Suggested Citation

  • Hamed Sabahno & Seyed Meysam Mousavi & Amirhossein Amiri, 2019. "A new development of an adaptive X − R control chart under a fuzzy environment," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 11(1), pages 19-44.
    • Handle: RePEc:ids:ijdmmm:v:11:y:2019:i:1:p:19-44
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=96547
    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:ijdmmm:v:11:y:2019:i:1:p:19-44. 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=342 .

    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.