Home
Scholarly Works
Optimal design and planning of supply chains for...
Chapter

Optimal design and planning of supply chains for viral vectors and RNA vaccines

Abstract

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.

Authors

Ibrahim D; Kis Z; Tak K; Papathanasiou M; Kontoravdi C; Chachuat B; Shah N

Book title

32nd European Symposium on Computer Aided Process Engineering

Series

Computer Aided Chemical Engineering

Volume

51

Pagination

pp. 1633-1638

Publisher

Elsevier

Publication Date

January 1, 2022

DOI

10.1016/b978-0-323-95879-0.50273-3
View published work (Non-McMaster Users)

Contact the Experts team