IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v346y2025i2d10.1007_s10479-023-05783-8.html
   My bibliography  Save this article

A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply chain application

Author

Listed:
  • Zahra Hussaini

    (Babol Noshirvani University of Technology)

  • Arash Nemati

    (Babol Noshirvani University of Technology)

  • Mohammad Mahdi Paydar

    (Babol Noshirvani University of Technology)

Abstract

Fluctuations in supply chains’ input, such as demand, purchasing, transportation, and production costs, could negatively affect the supply chain’s efficiency and responsiveness. Several fluctuations lead to several types of shorter time intervals per period, resulting in high complexity in supply chain planning. This paper defines each time interval with the stable value of a parameter as a Season and considers different numbers of seasons from different lengths for each parameter per period. It proposes a multi-period multi-season multi-objective mixed-integer mathematical model to formulate several viability strategies under fluctuations in a closed-loop supply chain (CLSC) planning. In addition, a framework of viable healthcare supplier selection is proposed, involving several criteria, such as sustainability, resiliency, and Industry 4.0 adaptation, and using the fuzzy analytical hierarchy process. The proposed model is solved in a healthcare case study of face mask production using the optimality grade method and CPLEX solver. The results showed the need for forty-eight seasonal suppliers’ layoffs, seven production lines’ seasonal layoffs, several seasonal capacity regulations, and different levels of seasonal storage to reach a viable CLSC. In addition, the seasonal price and production cost forecasting should be as accurate as possible due to their significant share in the total costs. Also, sensitivity analysis showed the considerable role of seasonal demand variation on the layoff strategy of viability.

Suggested Citation

  • Zahra Hussaini & Arash Nemati & Mohammad Mahdi Paydar, 2025. "A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply chain application," Annals of Operations Research, Springer, vol. 346(2), pages 1063-1108, March.
  • Handle: RePEc:spr:annopr:v:346:y:2025:i:2:d:10.1007_s10479-023-05783-8
    DOI: 10.1007/s10479-023-05783-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-023-05783-8
    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/s10479-023-05783-8?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:annopr:v:346:y:2025:i:2:d:10.1007_s10479-023-05783-8. 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.