IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v21y2014i1p100-122.html
   My bibliography  Save this article

Particle swarm optimisation for multi stage supply chain network associated with fixed charges

Author

Listed:
  • P. Manimaran
  • V. Selladurai

Abstract

This paper develops a particle swarm optimisation (PSO) algorithm for the multi stage supply chain network problem associated with the fixed charges. In many distribution problems, the transportation cost consists of fixed costs, that are independent of the quantities transported and variable costs, which are proportional to the quantities transported. The objective of this paper is to select the optimum set of suppliers, plants, distribution centres (DCs) to be opened and determine the quantities to be supplied to satisfy the customer demand with minimum total distribution cost. The problem chosen goes beyond the traditional mathematical programming and it becomes a non-polynomial (NP) hard while considering the fixed costs. The performance of PSO is compared in terms of total distribution cost with spanning tree-based genetic algorithm (st-GA), improved Prüfer number encoding-based genetic algorithm (IPEGA) and with LINGO. Computational results showed that the proposed PSO is capable of producing good quality solutions.

Suggested Citation

  • P. Manimaran & V. Selladurai, 2014. "Particle swarm optimisation for multi stage supply chain network associated with fixed charges," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 21(1), pages 100-122.
    • Handle: RePEc:ids:ijores:v:21:y:2014:i:1:p:100-122
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=64024
    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:ijores:v:21:y:2014:i:1:p:100-122. 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=170 .

    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.