IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v60y2022i16p4911-4935.html
   My bibliography  Save this article

Revised triple sampling control charts for the mean with known and estimated process parameters

Author

Listed:
  • Faijun Nahar Mim
  • Michael B. C. Khoo
  • Sajal Saha
  • Philippe Castagliola

Abstract

The primary aim of this research is to propose a revised triple sampling (TS) $\bar{X} $X¯ chart, where the derivations of new formulae for computing the average run length of the triple sampling (TS) $\bar{X} $X¯ chart correctly are provided. The secondary aim is to develop the revised TS $\bar{X} $X¯ chart with estimated process parameters. The revised TS $\bar{X} $X¯ charts are compared with the double sampling (DS) $\bar{X} $X¯, two stage adaptive sample size (AS2) $\bar{X} $X¯ and three stage adaptive sample size (AS3) $\bar{X} $X¯ charts when process parameters are known and estimated using the average run length (ARL), average number of observations to signal (ANOS), average of the average run lengths (AARL), standard deviation of the average run lengths (SDARL), average of the average number of observations to signal (AANOS) and standard deviation of the average number of observations to signal (SDANOS) criteria, where the revised TS $\bar{X} $X¯ charts are found to be superior. Additionally, a table giving the minimum number of Phase-I samples for estimating the process mean so that the revised TS $\bar{X} $X¯ chart with estimated process parameters has the desired in-control AARL and AANOS performances is provided.

Suggested Citation

  • Faijun Nahar Mim & Michael B. C. Khoo & Sajal Saha & Philippe Castagliola, 2022. "Revised triple sampling control charts for the mean with known and estimated process parameters," International Journal of Production Research, Taylor & Francis Journals, vol. 60(16), pages 4911-4935, August.
  • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:16:p:4911-4935
    DOI: 10.1080/00207543.2021.1943035
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2021.1943035
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2021.1943035?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. Jose Jorge Muñoz & Manuel J. Campuzano & Jaime Mosquera, 2022. "Optimized np Attribute Control Chart Using Triple Sampling," Mathematics, MDPI, vol. 10(20), pages 1-21, October.

    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:tprsxx:v:60:y:2022:i:16:p:4911-4935. 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/TPRS20 .

    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.