IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v24y2024i1d10.1007_s12351-023-00812-7.html
   My bibliography  Save this article

Designing a changeable multi-level supply chain network with additive manufacturing capability and costs uncertainty: a Monte Carlo approach

Author

Listed:
  • Pardis Roozkhosh

    (Ferdowsi University of Mashhad)

  • Alireza Pooya

    (Ferdowsi University of Mashhad)

  • Omid Soleimani Fard

    (Ferdowsi University of Mashhad)

  • Rouhollah Bagheri

    (Ferdowsi University of Mashhad)

Abstract

Production technology known as additive manufacturing completely deviates from the conventional subtractive method. Due to its unique nature, its application could result in significant Supply Chain (SC) changes and impact the interactions between supply chain participants. This study shows the additive manufacturing applicable in an SC, considers the combination of traditional and additive manufacturing, and redesigns the SC structure. Also, this study aims to reduce operational and traditional costs and provides a new optimization model for changeable multi-level SC. Additive manufacturing is considered both a centralized and decentralized state. Additionally, this paper proposes a new Monte Carlo (MC) method combined with a Machine Learning (MCML) approach to improve the cost uncertainty accuracy compared with simple MC. For validation, the model is tested in a real case and sensitively analyzed regarding changes in the uncertainty and type of manufacturers. The results show that this hybrid model can reduce costs, MCML-based-MPL can increase the uncertainty accuracy in MC, and this model performs considerably better than only one type of traditional or additive manufacturing in SC.

Suggested Citation

  • Pardis Roozkhosh & Alireza Pooya & Omid Soleimani Fard & Rouhollah Bagheri, 2024. "Designing a changeable multi-level supply chain network with additive manufacturing capability and costs uncertainty: a Monte Carlo approach," Operational Research, Springer, vol. 24(1), pages 1-37, March.
    • Handle: RePEc:spr:operea:v:24:y:2024:i:1:d:10.1007_s12351-023-00812-7
    DOI: 10.1007/s12351-023-00812-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-023-00812-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-023-00812-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:spr:operea:v:24:y:2024:i:1:d:10.1007_s12351-023-00812-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.