IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v29y2018i3p303-337.html
   My bibliography  Save this article

Price, production and order decisions in a one-manufacturer multi-retailer supply chain with fuzzy costs: two parameter tuned meta-heuristics

Author

Listed:
  • Mohammad Saeid Atabaki
  • Abolfazl Mirzazadeh
  • Saeed Fazayeli

Abstract

This paper develops a mixed integer nonlinear programming model of a one-manufacturer, multi-retailer, multi-period supply chain, where demands of retailers are affected by selling prices and learning curve is considered in production costs. Also, fuzzy concept is applied to cope with uncertainty of cost's parameters. Two meta-heuristic algorithms, namely genetic algorithm (GA) and invasive weed optimisation (IWO) are proposed to solve the model. With optimising parameters of the two meta-heuristics using Taguchi design of experiments, numerical examples showed that the proposed IWO has better performance in comparison with the GA. The IWO, then, is applied to solve the fuzzy model.

Suggested Citation

  • Mohammad Saeid Atabaki & Abolfazl Mirzazadeh & Saeed Fazayeli, 2018. "Price, production and order decisions in a one-manufacturer multi-retailer supply chain with fuzzy costs: two parameter tuned meta-heuristics," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 29(3), pages 303-337.
    • Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:303-337
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=93049
    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:29:y:2018:i:3:p:303-337. 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.