IDEAS home Printed from https://ideas.repec.org/a/ids/ijisde/v7y2013i1p91-109.html
   My bibliography  Save this article

Design and optimisation for fixed area cellular layout problems using GA and SAA

Author

Listed:
  • M. Saravanan
  • P.V. Arulkumar

Abstract

This paper compares two familiar optimisation algorithms named Genetic Algorithm (GA) and Simulated Annealing Algorithm (SAA) to find out the best algorithm which is suitable for solving the cellular layout design problems. The objective is to minimise the movement of parts within the cell by appropriate placement of machines. In determining the physical location of work centres, some relative importance factors are considered. The priorities are given for the product, which has more volume and hazardous move and also to minimise back tracking move.

Suggested Citation

  • M. Saravanan & P.V. Arulkumar, 2013. "Design and optimisation for fixed area cellular layout problems using GA and SAA," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 7(1), pages 91-109.
    • Handle: RePEc:ids:ijisde:v:7:y:2013:i:1:p:91-109
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=52124
    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:ijisde:v:7:y:2013:i:1:p:91-109. 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=33 .

    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.