IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v43y2022i1p72-87.html
   My bibliography  Save this article

Minimising the tardiness in open shop scheduling problems using variants of the firefly algorithm and genetic algorithm

Author

Listed:
  • A. Hussain Lal
  • R. Jeyapaul
  • A. Noorul Haq

Abstract

Scheduling is an important feature in a production planning and control system. Scheduling problems in a shop floor are classified into three broad categories as flow shop scheduling, job shop scheduling and open shop scheduling. A number of research works have been carried out in flow shop and job shop scheduling problems. An abstract has been made in this work to optimise the performance criteria minimising of tardiness for an open shop scheduling problem. The problem consists of 'n' jobs and 'm& machines in an open shop scheduling environment. The two meta-heuristic algorithms firefly and genetic algorithm have been applied to get the optimal result for the performance criteria. Finally the results are analysed.

Suggested Citation

  • A. Hussain Lal & R. Jeyapaul & A. Noorul Haq, 2022. "Minimising the tardiness in open shop scheduling problems using variants of the firefly algorithm and genetic algorithm," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 43(1), pages 72-87.
    • Handle: RePEc:ids:ijsoma:v:43:y:2022:i:1:p:72-87
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=126292
    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:ijsoma:v:43:y:2022:i:1:p:72-87. 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=150 .

    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.