IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v14y2023i1-2p78-98.html
   My bibliography  Save this article

Distribution and transportation model for COVID-19 vaccine

Author

Listed:
  • Abhijeet Kumar
  • M.A. Shariful Amin
  • Hakan Tarakci
  • Victor Prybutok

Abstract

The pandemic that began in December 2019 in Wuhan, China has spread worldwide and infected millions of people across the globe. To combat COVID-19, scientists developed vaccines in record time. Without proper vaccine distribution, the country would suffer from low coverage rates and the virus would continue to spread. We are losing over 3,000 lives each day to COVID-19; this means a single day of delay in the distribution of vaccine is costing thousands of innocent lives. In this paper we have formulated a distribution model using mixed integer programming (MIP) that maximises the number of people vaccinated, minimises the cost of transportation over the entire network while ensuring widespread access.

Suggested Citation

  • Abhijeet Kumar & M.A. Shariful Amin & Hakan Tarakci & Victor Prybutok, 2023. "Distribution and transportation model for COVID-19 vaccine," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 14(1/2), pages 78-98.
  • Handle: RePEc:ids:ijenma:v:14:y:2023:i:1/2:p:78-98
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=130771
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijenma:v:14:y:2023:i:1/2:p:78-98. 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=187 .

    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.