IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v18y2016i4p474-498.html
   My bibliography  Save this article

A literature review investigation on quality control charts based on fuzzy logic

Author

Listed:
  • Mina Nasiri
  • Soroush Avakh Darestani

Abstract

To assure the quality of product and services, organisations need to employ quality control tools. In this context, as precise data are not always available, fuzzy sets theory can adequately model the processes in which observed data are vague. Researchers have focused on fuzzy control charts that accommodate uncertainty due to fuzziness. Owing to the importance of fuzzy control charts, this research reviewed the literature on fuzzy control charts since 1990-2012. Based on the objective of this paper, fuzzy application of control charts were analysed with respect to the publication year, journal's title, author's affiliation, data source, fuzzy theory classification, control chart classification and research place. The results demonstrated positive increasing trends of researches occurred in the last decade. To sum up, the results demonstrated that using fuzzy set theory on control chart still needed for further investigation on performance criteria, membership, distributions function, heuristic methods and attribute control chart.

Suggested Citation

  • Mina Nasiri & Soroush Avakh Darestani, 2016. "A literature review investigation on quality control charts based on fuzzy logic," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 18(4), pages 474-498.
    • Handle: RePEc:ids:ijpqma:v:18:y:2016:i:4:p:474-498
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=77778
    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:18:y:2016:i:4:p:474-498. 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.