Manara - Qatar Research Repository
Browse
10.1109_access.2020.2977833.pdf (2.45 MB)

Efficient Control Charts for Monitoring Process CV Using Auxiliary Information

Download (2.45 MB)
journal contribution
submitted on 2023-08-27, 06:57 and posted on 2023-09-20, 08:31 authored by Saddam Akbar Abbasi

Coefficient of variation (CV) control charts are a suitable choice for the monitoring of variation in cases when the process standard deviation is proportional to the process mean. This study is aimed at enhancing the detection ability of usual CV chart by incorporating the use of auxiliary information. In recent years, researchers investigated the use of auxiliary information for improving the sensitivity of location and dispersion charts. However, no study has investigated the CV control charts in presence of auxiliary information. In this study, I propose and investigate a set of auxiliary information based charts for efficient monitoring of process CV by considering a variety of CV estimators. The auxiliary information is used in terms of regression, ratio and hybrid forms. A real life example concerning the monitoring of air quality is also presented to illustrate the application of proposed charts.

Other Information

Published in: IEEE Access
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1109/access.2020.2977833

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

IEEE

Publication Year

  • 2020

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • College of Arts and Sciences - QU

Usage metrics

    Qatar University

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC