IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v51y2022i1p197-211.html
   My bibliography  Save this article

A new control chart using GINI CPK

Author

Listed:
  • Muhammad Aslam
  • G. Srinivasa Rao
  • Liaquat Ahmad
  • Chi-Hyuck Jun

Abstract

Process capability indices (PCIs) have been extensively applied to study product potential and performance. The quality control engineers use these process capability indices greatly to magnify the actual performance of the process from the predetermined specifications of the product. A control chart for the process monitoring is developed using the Gini’s mean difference as a measure of variability under the Weibull distribution. We consider the control chart process capability index, Cpk has been used for the efficient monitoring of the manufacturing process. It has been observed that the proposed chart is comparatively better than the existing chart. An example of the practical application of the proposed chart has also been presented.

Suggested Citation

  • Muhammad Aslam & G. Srinivasa Rao & Liaquat Ahmad & Chi-Hyuck Jun, 2022. "A new control chart using GINI CPK," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(1), pages 197-211, January.
  • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:1:p:197-211
    DOI: 10.1080/03610926.2020.1746971
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2020.1746971
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2020.1746971?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kuen-Suan Chen & Feng-Chia Li & Kuei-Kuei Lai & Jung-Mao Lin, 2022. "Green Outsourcer Selection Model Based on Confidence Interval of PCI for SMT Process," Sustainability, MDPI, vol. 14(24), pages 1-12, December.

    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:51:y:2022:i:1:p:197-211. 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.