IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v6y2010i1p91-111.html
   My bibliography  Save this article

Optimal operating policies of X-bar control chart for non-normal variables with generalised Pareto in-control times

Author

Listed:
  • K. Srinivasa Rao
  • Neelufur
  • K. Venkata Subbaiah

Abstract

In designing the control charts, the choice of control chart parameters like sample size and sampling interval are most important. To determine the optimal design parameters, it is required to consider the model for statistical economic design of control charts with suitable probability distribution for quality characteristic and process in-control times, which are random in nature. In this paper, we consider the economic statistical design of X-bar control chart for non-normal quality characteristic. Here, it is assumed that the sample average of the quality characteristic X-bar has a Johnson distribution and the process in-control times follow generalised Pareto distribution. With suitable cost considerations and modifying the Lorenzen and Vance (1986) cost model, the expected cost per unit time is derived. The optimal sample size and the time interval between samples are obtained by minimising the expected cost per unit time. The sensitivity of the design with respect to the parameters and costs is also studied. This model is much useful for reducing the production cost and to improve product quality in places like, glassware industries, chemicals and films industries, etc.

Suggested Citation

  • K. Srinivasa Rao & Neelufur & K. Venkata Subbaiah, 2010. "Optimal operating policies of X-bar control chart for non-normal variables with generalised Pareto in-control times," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(1), pages 91-111.
  • Handle: RePEc:ids:ijpqma:v:6:y:2010:i:1:p:91-111
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=33886
    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.

    Citations

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


    Cited by:

    1. A. Azadeh & M. Ameli & N. Alisoltani & S. Motevali Haghighi, 2016. "A unique fuzzy multi-control approach for continuous quality improvement in a radio therapy department," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2469-2493, November.
    2. Azam Moraditadi & Soroush Avakhdarestani, 2016. "Development of fuzzy individual x and moving range control chart," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 17(1), pages 82-103.

    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:6:y:2010:i:1:p:91-111. 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.