A simulation-optimisation model for COVID-19 vaccine supply

Kian, R. ORCID: 0000-0001-8786-6349, Taheri, S. ORCID: 0000-0002-3515-1269, De Leeuw, S. ORCID: 0000-0003-3056-8775 and Erdogan, G., 2022. A simulation-optimisation model for COVID-19 vaccine supply. In: EURO 2022, Helsinki, Finland, 03-06 July 2022.

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Abstract

In this study, we investigate the COVID-19 vaccine dispatch and distribution on a periodic basis. One of the operational challenges of vaccination is its inventory level which depend on the number of people register and show up in different vaccine centres. The stochastic nature of demand especially for walk-in centres necessitates a periodic replenishment program which encompasses a logistics operation. Thus, we use a simulation-optimisation model to optimise the cost and waste.

The simulation part tackles the effect of policies and prioritisations on demand, while the optimisation part deals with routing. A numerical study is provided to compare different scenarios.

Item Type:	Conference contribution
Creators:	Kian, R., Taheri, S., De Leeuw, S. and Erdogan, G.
Date:	July 2022
Identifiers:	Number Type 1825880 Other
Divisions:	Schools > Nottingham Business School
Record created by:	Jeremy Silvester
Date Added:	02 Nov 2023 11:29
Last Modified:	02 Nov 2023 11:29
URI:	https://irep.ntu.ac.uk/id/eprint/50217

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