IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v16y2015i4p473-503.html
   My bibliography  Save this article

Effectiveness improvement through total productive maintenance using particle swarm optimisation model for small and micro manufacturing enterprises

Author

Listed:
  • G. Ananth
  • B.K. Vinayagam

Abstract

In many manufacturing industries, the total productive maintenance (TPM) is a significant maintenance methodology. In this paper we are employing the prior experimental result of a packaging industry, and then we develop a mathematical model based on real time experiment values in a small undisclosed Indian industry. We get an optimised value, by feeding the mathematical modelling values to the particle swarm optimisation and genetic algorithm, where only PSO values have a closer resemblance to the experimental values than the GA values. Then we develop theoretical result based on some suggestions and varied downtime, and the mathematical model is used to verify the theoretical result using particle swarm optimisation technique. We find all parameters based on theoretical suggestions and some mathematical functions, whereas the experimental result table comprises some parameters. Then these values are fed into the PSO algorithm, and finally we get the optimum output parameters compared to the existing result.

Suggested Citation

  • G. Ananth & B.K. Vinayagam, 2015. "Effectiveness improvement through total productive maintenance using particle swarm optimisation model for small and micro manufacturing enterprises," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 16(4), pages 473-503.
    • Handle: RePEc:ids:ijpqma:v:16:y:2015:i:4:p:473-503
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=72425
    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:4:p:473-503. 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.