IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v53y2026i4p522-557.html

A redistribution-based multi-stage humanitarian logistic design model considering the spherical fuzzy methodology

Author

Listed:
  • Saptadeep Biswas
  • Prasad Belamkar
  • Uttam Kumar Bera

Abstract

This article presents a multi-stage model of reliable humanitarian logistics for aid distribution in post-disaster scenarios. To minimise total cost and time, the model incorporates redistribution and addresses uncertainties using the spherical fuzzy methodology. Inspired by the crucial role of humanitarian aid in saving lives and mitigating suffering, the study seeks to enhance the effectiveness of real-world humanitarian logistics operations. The proposed model optimises emergency operations by reallocating essential resources within regional supply warehouses, thus improving efficiency. It effectively handles uncertainties through the robust framework of the spherical fuzzy methodology. Numerical studies and a comparison analysis verify the model's efficacy using stochastic and fuzzy parameters. By integrating redistribution strategies and leveraging the capabilities of the spherical fuzzy methodology, the study contributes practical solutions and insights. Ultimately, the research strives to enhance aid delivery's timeliness, cost-effectiveness, and efficiency, saving lives and alleviating human suffering during critical post-disaster phases.

Suggested Citation

  • Saptadeep Biswas & Prasad Belamkar & Uttam Kumar Bera, 2026. "A redistribution-based multi-stage humanitarian logistic design model considering the spherical fuzzy methodology," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 53(4), pages 522-557.
  • Handle: RePEc:ids:ijlsma:v:53:y:2026:i:4:p:522-557
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=152869
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:ids:ijlsma:v:53:y:2026:i:4:p:522-557. 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=134 .

    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.