IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v59y2021i17p5198-5215.html
   My bibliography  Save this article

Optimal postponement in supply chain network design under uncertainty: an application for additive manufacturing

Author

Listed:
  • Daniel Ramón-Lumbierres
  • F. Javier Heredia Cervera
  • Joaquim Minguella-Canela
  • Asier Muguruza-Blanco

Abstract

This study presents a new two-stage stochastic programming decision model for assessing how to introduce some new manufacturing technology into any generic supply and distribution chain. It additionally determines the optimal degree of postponement, as represented by the so-called customer order decoupling point (CODP), while assuming uncertainty in demand for multiple products. To this end, we propose here the formulation of a generic supply chain through an oriented graph that represents all the deployable alternative technologies, which are defined through a set of operations that are characterised by lead times and cost parameters. Based on this graph, we develop a mixed integer two-stage stochastic programme that finds the optimal manufacturing technology for meeting each market’s demand, each operation’s optimal production quantity, and each selected technology’s optimal CODP. We also present and analyse a case study for introducing additive manufacturing technologies.

Suggested Citation

  • Daniel Ramón-Lumbierres & F. Javier Heredia Cervera & Joaquim Minguella-Canela & Asier Muguruza-Blanco, 2021. "Optimal postponement in supply chain network design under uncertainty: an application for additive manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 59(17), pages 5198-5215, September.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:17:p:5198-5215
    DOI: 10.1080/00207543.2020.1775908
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2020.1775908
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2020.1775908?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jimo, Ajeseun & Braziotis, Christos & Rogers, Helen & Pawar, Kulwant, 2022. "Additive manufacturing: A framework for supply chain configuration," International Journal of Production Economics, Elsevier, vol. 253(C).
    2. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    3. Zhiming Shi & Yisong Li & Gábor Bohács & Qiang Zhou, 2022. "A Study on Optimal Location Selection and Semi-Finished Product Inventory Allocation in the Steel Industry," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    4. Belhadi, Amine & Kamble, Sachin S. & Venkatesh, Mani & Chiappetta Jabbour, Charbel Jose & Benkhati, Imane, 2022. "Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view," International Journal of Production Economics, Elsevier, vol. 249(C).

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:59:y:2021:i:17:p:5198-5215. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.