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A planning model for the WHO-EPI vaccine distribution network in developing countries

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  • Sheng-I Chen
  • Bryan A. Norman
  • Jayant Rajgopal
  • Tina M. Assi
  • Bruce Y. Lee
  • Shawn T. Brown

Abstract

In many developing countries, inefficiencies in the supply chain for the World Health Organization's Expanded Program on Immunization (EPI) vaccines are of grave concern; these inefficiencies result in thousands of people not being fully immunized and creates significant risk of disease epidemics. Thus, there is a great deal of interest in these countries in building tools to analyze and optimize how vaccines flow down several levels of the supply chain from manufacturers to vaccine recipients. This article develops a mathematical model for typical vaccine distribution networks in developing countries. This model has been successfully adapted for supply chains in three different countries (Niger, Thailand, and Vietnam), and its application to several issues of interest to public health administrators in developing countries is discussed.

Suggested Citation

  • Sheng-I Chen & Bryan A. Norman & Jayant Rajgopal & Tina M. Assi & Bruce Y. Lee & Shawn T. Brown, 2014. "A planning model for the WHO-EPI vaccine distribution network in developing countries," IISE Transactions, Taylor & Francis Journals, vol. 46(8), pages 853-865, August.
    • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:8:p:853-865
    DOI: 10.1080/0740817X.2013.813094
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    Cited by:

    1. Yang, Yuwen & Bidkhori, Hoda & Rajgopal, Jayant, 2021. "Optimizing vaccine distribution networks in low and middle-income countries," Omega, Elsevier, vol. 99(C).
    2. Juliano Marçal Lopes & Coralys Colon Morales & Michelle Alvarado & Vidal Augusto Z. C. Melo & Leonardo Batista Paiva & Eduardo Mario Dias & Panos M. Pardalos, 2022. "Optimization methods for large-scale vaccine supply chains: a rapid review," Annals of Operations Research, Springer, vol. 316(1), pages 699-721, September.
    3. Wang, Xin & Jiang, Ruiwei & Qi, Mingyao, 2023. "A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply," Omega, Elsevier, vol. 119(C).
    4. Dastgoshade, Sohaib & Shafiee, Mohammad & Klibi, Walid & Shishebori, Davood, 2022. "Social equity-based distribution networks design for the COVID-19 vaccine," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. Yuwen Yang & Jayant Rajgopal, 2021. "Outreach Strategies for Vaccine Distribution: A Multi-period Stochastic Modeling Approach," SN Operations Research Forum, Springer, vol. 2(2), pages 1-26, June.
    6. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    7. Zahra Azadi & Harsha Gangammanavar & Sandra Eksioglu, 2020. "Developing childhood vaccine administration and inventory replenishment policies that minimize open vial wastage," Annals of Operations Research, Springer, vol. 292(1), pages 215-247, September.
    8. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Gendreau, Michel & Dolgui, Alexandre & Meyer, Patrick, 2023. "Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1249-1272.
    9. De Boeck, Kim & Decouttere, Catherine & Vandaele, Nico, 2020. "Vaccine distribution chains in low- and middle-income countries: A literature review," Omega, Elsevier, vol. 97(C).
    10. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    11. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).

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