This paper considers the organization and scheduling of a vaccination campaign during a pandemic emergency. We describe the decision process and introduce an optimization model, which showed a powerful multi -scenario tool for scheduling a campaign in detail within a dynamic and uncertain context. The solution of the model gave the decision maker the possibility to test different settings and have a configurable solution within few seconds, compared with the man-days of effort that would have required a manual schedule. Analysis of a real case study on COVID-19 vaccination campaign in northern Italy showed that the use of such optimized solution allowed to cover the target population within a much shorter time interval, compared to a manual approach.
Fabbri, C., Ghedini, P., Leonessi, M., Malaguti, E., Tubertini, P. (2023). A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case. COMPUTERS & INDUSTRIAL ENGINEERING, 177, 109068-109073 [10.1016/j.cie.2023.109068].
A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case
Malaguti, Enrico
;
2023
Abstract
This paper considers the organization and scheduling of a vaccination campaign during a pandemic emergency. We describe the decision process and introduce an optimization model, which showed a powerful multi -scenario tool for scheduling a campaign in detail within a dynamic and uncertain context. The solution of the model gave the decision maker the possibility to test different settings and have a configurable solution within few seconds, compared with the man-days of effort that would have required a manual schedule. Analysis of a real case study on COVID-19 vaccination campaign in northern Italy showed that the use of such optimized solution allowed to cover the target population within a much shorter time interval, compared to a manual approach.File | Dimensione | Formato | |
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Modello_Vaccini.pdf
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