IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v36y2020i1p49-72.html
   My bibliography  Save this article

Application of artificial immune system algorithm for simultaneous minimisation of multiple objectives in single row facility layout problems

Author

Listed:
  • Lenin Nagarajan
  • Siva Kumar Mahalingam
  • Jayakrishna Kandasamy
  • Selvakumar Gurusamy

Abstract

In this paper, an artificial immune system (AIS) algorithm is proposed to solve single row facility layout problem (SRFLP) for obtaining a best layout design of machines, which simultaneously minimises the multiple objectives. The multi-product environment with multiple objectives is considered in this work and it is a non-polynomial hard problem too. Total number of machines in the layout, total flow distance of products, total length of the flow line and total material handling cost are considered as objectives. Four problems are taken from Lenin et al. (2018) and four problems are randomly generated to obtain the best layout using AIS. The reduction in objective values is good by the proposed AIS algorithm compared with Lenin et al. (2018). In addition, the computational time for all the eight problems by the proposed AIS method is less compared with Lenin et al. (2018).

Suggested Citation

  • Lenin Nagarajan & Siva Kumar Mahalingam & Jayakrishna Kandasamy & Selvakumar Gurusamy, 2020. "Application of artificial immune system algorithm for simultaneous minimisation of multiple objectives in single row facility layout problems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 36(1), pages 49-72.
    • Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:49-72
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=109119
    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:ijisen:v:36:y:2020:i:1:p:49-72. 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=188 .

    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.