IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v59y2021i12p3722-3746.html
   My bibliography  Save this article

Optimising the configuration of food supply chains

Author

Listed:
  • Haitao Li
  • De Li
  • Dali Jiang

Abstract

We study the food supply chain configuration problem (FSCCP) to optimise the tactical-level mode selection and inventory positioning decisions for a general multi-echelon food supply chain. A mixed-integer nonlinear programming (MINLP) model is developed for the FSCCP, with new building blocks to address the perishability issue in terms of both food loss and quality deterioration. Our model minimises the system-wide total supply chain costs and balances multiple supply chain performance metrics: cost, time and quality. Computational studies show that the optimal FSCCP solutions significantly outperform two heuristic solutions that focus solely on cost or quality. Additional insights are obtained on the impacts of key input parameters on the optimal configuration and performance metrics.

Suggested Citation

  • Haitao Li & De Li & Dali Jiang, 2021. "Optimising the configuration of food supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3722-3746, June.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:12:p:3722-3746
    DOI: 10.1080/00207543.2020.1751337
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2020.1751337
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2020.1751337?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.

    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:12:p:3722-3746. 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.