IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v5y2011i1p22-42.html
   My bibliography  Save this article

Cell formation using a simulated annealing algorithm with variable neighbourhood

Author

Listed:
  • Kuo-Ching Ying
  • Shih-Wei Lin
  • Chung-Cheng Lu

Abstract

The broad applications of cellular manufacturing make the cell formation problem (CFP) a core subject in the field of manufacturing. Due to the combinatorial nature of the CFP, a simulated annealing-based meta-heuristic with variable neighbourhood was developed to form part-machine cells. To validate and verify the proposed approach, computational experiments were conducted on a set of CFPs from the literature. Using the grouping efficacy as a performance criterion, the proposed approach is shown to outperform existing state-of-the-art algorithms by exceeding or matching the best known solutions in the majority of the test problems. The evaluation results clearly show that this study successfully develops an effective approach for CFPs. [Submitted 25 July 2009; Revised 22 October 2009, 11 November 2009; Accepted 12 November 2009]

Suggested Citation

  • Kuo-Ching Ying & Shih-Wei Lin & Chung-Cheng Lu, 2011. "Cell formation using a simulated annealing algorithm with variable neighbourhood," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 5(1), pages 22-42.
    • Handle: RePEc:ids:eujine:v:5:y:2011:i:1:p:22-42
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=37224
    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. Lin, Shih-Wei & Ying, Kuo-Ching & Lu, Chung-Cheng & Gupta, Jatinder N.D., 2011. "Applying multi-start simulated annealing to schedule a flowline manufacturing cell with sequence dependent family setup times," International Journal of Production Economics, Elsevier, vol. 130(2), pages 246-254, April.
    2. Kuo-Ching Ying & Yi-Ju Tsai, 2017. "Minimising total cost for training and assigning multiskilled workers in production systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2978-2989, May.

    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:eujine:v:5:y:2011:i:1:p:22-42. 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=210 .

    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.