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@inbook{Ibrahim:2022:10.1016/B978-0-323-95879-0.50273-3,
author = {Ibrahim, D and Kis, Z and Tak, K and Papathanasiou, M and Kontoravdi, C and Chachuat, B and Shah, N},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-323-95879-0.50273-3},
pages = {1633--1638},
title = {Optimal design and planning of supply chains for viral vectors and RNA vaccines},
url = {http://dx.doi.org/10.1016/B978-0-323-95879-0.50273-3},
year = {2022}
}

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TY  - CHAP
AB  - This work develops a multi-product MILP vaccine supply chain model that supports planning, distribution, and administration of viral vectors and RNA-based vaccines. The capability of the proposed vaccine supply chain model is illustrated using a real-world case study on vaccination against SARS-CoV-2 in the UK that concerns both viral vectors (e.g., AZD1222 developed by Oxford-AstraZeneca) and RNA-based vaccine (e.g., BNT162b2 developed by Pfizer-BioNTech). A comparison is made between the resources required and logistics costs when viral vectors and RNA vaccines are used during the SARS-CoV-2 vaccination campaign. Analysis of results shows that the logistics cost of RNA vaccines is 85% greater than that of viral vectors, and that transportation cost dominates logistics cost of RNA vaccines compared to viral vectors.
AU  - Ibrahim,D
AU  - Kis,Z
AU  - Tak,K
AU  - Papathanasiou,M
AU  - Kontoravdi,C
AU  - Chachuat,B
AU  - Shah,N
DO  - 10.1016/B978-0-323-95879-0.50273-3
EP  - 1638
PY  - 2022///
SP  - 1633
TI  - Optimal design and planning of supply chains for viral vectors and RNA vaccines
T1  - Computer Aided Chemical Engineering
UR  - http://dx.doi.org/10.1016/B978-0-323-95879-0.50273-3
ER  -

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