IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v16y2015i3p325-346.html
   My bibliography  Save this article

Computer-aided design of X and R charts using teaching-learning-based optimisation algorithm

Author

Listed:
  • Abhijeet Ganguly
  • Saroj Kumar Patel

Abstract

Control charts are broadly applied in industries to establish and maintain statistical control of a process which leads to improve the quality and productivity. Design of control charts requires selection of three parameters namely sample size, sampling interval and width of control limits for the chart. The prime aim of the economic design of a control chart is to find the optimal values for control chart parameters such that the total cost of process control would be minimum. This article uses a new population based teaching-learning-based optimisation search algorithm for the joint economic design of X and R control charts that find global minimum for the loss cost function by optimising the design parameters. A MATLAB program has been developed for the computer-aided design of control charts. The algorithm has been tested for as many as 160 sets of numerical data and the results were observed to be superior to that reported in two different papers with respect to cost savings.

Suggested Citation

  • Abhijeet Ganguly & Saroj Kumar Patel, 2015. "Computer-aided design of X and R charts using teaching-learning-based optimisation algorithm," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 16(3), pages 325-346.
    • Handle: RePEc:ids:ijpqma:v:16:y:2015:i:3:p:325-346
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=71517
    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.

    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:16:y:2015:i:3:p:325-346. 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.