Kian, R ORCID: https://orcid.org/0000-0001-8786-6349, Taheri, S ORCID: https://orcid.org/0000-0002-3515-1269, De Leeuw, S ORCID: https://orcid.org/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.
Full text not available from this repository.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 |
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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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