Evaluating a Covid-19 vaccine centre in the UK using a DES model

Reid, Iain, Kundu, Saikat and Latif, Muhammad (2023) Evaluating a Covid-19 vaccine centre in the UK using a DES model. In: International Virtual Conference on Industry 4.0 (ICVI), 09 December 2021 - 10 December 2021, Online.

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Official URL: https://doi.org/10.1007/978-981-19-9989-5_17

Abstract

Efficient management of a Covid-19 vaccine centre (VC) is necessary for proper-functioning of a mass vaccination programme. This study reports on an evaluation of the operational performance of a VC. There are two key considerations: the VC capacity (patients per hour) and the patient flow-time (total time patients spent in the centre). In this paper, Witness Horizon a simulation model tool that can be used to enhance the effectiveness of vaccination facilities is introduced. The model is developed using discrete event simulation. The model utilises animation whilst dynamically displaying key performance indicators. The uniqueness of this approach is the ability to simulate and analyse VC scenarios stochastically by varying hourly arrivals, walk-ins to drive-in ratios, staffing levels, registration, immunization, and observation capacities.

Item Type:	Conference or Workshop Item (Paper)
Published Proceedings:	International Virtual Conference on Industry 4.0: select proceedings of IVCI4.0 2021
Peer-reviewed:	Yes
Date Deposited:	28 Apr 2023 09:21
Publisher:	Springer
Additional Information:	This version of the conference paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-981-19-9989-5_17
Divisions:	Faculties > Business and Law Faculties > Science and Engineering
URI:	https://e-space.mmu.ac.uk/id/eprint/631844
DOI:	https://doi.org/10.1007/978-981-19-9989-5_17
ISSN	1876-1100
e-ISSN	1876-1119

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