IDEAS home Printed from https://ideas.repec.org/a/ids/ijdsci/v6y2021i2p129-146.html
   My bibliography  Save this article

Mathematical model structures of supply chain optimisation studies and an innovative approach proposal

Author

Listed:
  • Mustafa Yildirim
  • Mehmet Mutlu Yenisey

Abstract

Supply chain optimisation has been the subject of many scientific studies due to its mathematical structure. In this study, some optimisation studies that consider the components of the supply chain for modelling and to help to make decisions for supply chain management problems are examined. These studies in the literature have been classified in terms of mathematical model structures. Optimisation of supply chain problems and complexity of problems are mentioned. For the optimisation of the supply chain, a new innovative approach has been proposed by using the succession relationship between the components of the supply chain. In accordance with the proposed approach, a solution method has been described and its results are shown on a sample problem. It is aimed that the proposed method will bring a new approach suitable for solving complex problems, especially supply chain optimisation problems, and contribute to finding better solutions. Development opportunities are evaluated by examining the results.

Suggested Citation

  • Mustafa Yildirim & Mehmet Mutlu Yenisey, 2021. "Mathematical model structures of supply chain optimisation studies and an innovative approach proposal," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 6(2), pages 129-146.
    • Handle: RePEc:ids:ijdsci:v:6:y:2021:i:2:p:129-146
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=118945
    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:ijdsci:v:6:y:2021:i:2:p:129-146. 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=429 .

    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.