IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v5y2018i4p309-332.html
   My bibliography  Save this article

An analysis of mathematical models for multi-site production and distribution planning

Author

Listed:
  • Gaurav Kumar Badhotiya
  • Gunjan Soni
  • M.L. Mittal

Abstract

In today's competitive globalised market, it is imperative for enterprises to improve their efficiency, provide better service to customers, and facilitate better production and distribution activities. To do so, organisations are opting for producing at multiple manufacturing sites situated at geographically distinct locations. In the last two decades, there has been seen an increasing trend in articles working in the field of multi-site production and distribution planning. This paper defines multi-site production and distribution planning problem and provide direction for researchers and practitioners to understand the field and develop mathematical models in this area. The main objective of this paper is to analyse the existing mathematical models for identification of current research trend and future research directions. The literature is classified based on the problem formulation approach, aspects of the model, solution approach and applications. Following the classification of the articles; discussion, research findings and future research directions are indicated.

Suggested Citation

  • Gaurav Kumar Badhotiya & Gunjan Soni & M.L. Mittal, 2018. "An analysis of mathematical models for multi-site production and distribution planning," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 5(4), pages 309-332.
  • Handle: RePEc:ids:ijient:v:5:y:2018:i:4:p:309-332
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=95714
    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:ijient:v:5:y:2018:i:4:p:309-332. 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=167 .

    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.