IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7350204.html
   My bibliography  Save this article

Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling

Author

Listed:
  • Zahid Rasheed
  • Majid Khan
  • Nafiu Lukman Abiodun
  • Syed Masroor Anwar
  • G. Khalaf
  • Saddam Akber Abbasi
  • Adrian Neagu

Abstract

The statistical performance of parametric control charts is questionable when the underlying process does not follow any specified probability distribution. Nonparametric control charts are the best substitute for this situation. On the other hand, the ranked set sampling technique is preferred over the simple random sampling technique because it reduces the variability of process parameters and improves the control chart’s performance. This study aims to offer a nonparametric double homogeneously weighted moving average control chart under Wilcoxon signed-rank test considering the ranked set sampling technique (regarded as NPDHWMARSS), to further enhance the process location monitoring. The proposed chart’s run-length performance is compared with competing control charts, such as DEWMA-X¯, NPDEWMA-SR, NPRDEWMA-SR, DHWMA, and NPHWMARSS control charts. The comparison revealed that the proposed NPDHWMARSS control chart outperformed the other competing control charts, particularly for small to moderate shifts in process location. Finally, a real-life application is also offered for quality practitioners to show the strength of the proposed control chart.

Suggested Citation

  • Zahid Rasheed & Majid Khan & Nafiu Lukman Abiodun & Syed Masroor Anwar & G. Khalaf & Saddam Akber Abbasi & Adrian Neagu, 2022. "Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-15, June.
  • Handle: RePEc:hin:jnlmpe:7350204
    DOI: 10.1155/2022/7350204
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/7350204.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/7350204.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/7350204?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
    ---><---

    Citations

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


    Cited by:

    1. Jean-Claude Malela-Majika & Schalk William Human & Kashinath Chatterjee, 2024. "Homogeneously Weighted Moving Average Control Charts: Overview, Controversies, and New Directions," Mathematics, MDPI, vol. 12(5), pages 1-30, February.

    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:hin:jnlmpe:7350204. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.