Optimizing vaccine distribution networks in low and middle-income countries

•We address the design of WHO-EPI vaccine distribution chains in low and middle income countries.•A mixed integer programming model is developed.•An MIP based algorithm is developed to solve very large problem formulations.•Data derived from four countries is used to analyze the algorithm's per...

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Vydané v:Omega (Oxford) Ročník 99; s. 102197
Hlavní autori: Yang, Yuwen, Bidkhori, Hoda, Rajgopal, Jayant
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.03.2021
Predmet:
Mixed integer programming
Network design
Supply chains
Vaccines
Mixed integer programming
Network design
Vaccines
Supply chains
ISSN:0305-0483, 1873-5274
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Popis
Shrnutí:•We address the design of WHO-EPI vaccine distribution chains in low and middle income countries.•A mixed integer programming model is developed.•An MIP based algorithm is developed to solve very large problem formulations.•Data derived from four countries is used to analyze the algorithm's performance.•It is shown that significant savings can accrue from redesigning the distribution network. Vaccination has been proven to be the most effective method to prevent infectious diseases. However, there are still millions of children in low and middle-income countries who are not covered by routine vaccines and remain at risk. The World Health Organization – Expanded Programme on Immunization (WHO-EPI) was designed to provide universal childhood vaccine access for children across the world and in this work, we address the design of the distribution network for WHO-EPI vaccines. In particular, we formulate the network design problem as a mixed integer program (MIP) and present a new algorithm for typical problems that are too large to be solved using commercial MIP software. We test the algorithm using data derived from four different countries in sub-Saharan Africa and show that the algorithm is able to obtain high-quality solutions for even the largest problems within a few minutes.
ISSN:0305-0483
1873-5274
DOI:10.1016/j.omega.2020.102197