Abstract
We propose new activities set to a hospital laboratory in Belo Horizonte and queues of patients with different profiles. We developed a simulation model using the Simpy module of the Python programming language. The study establishes the minimum number of employees to attend patients at the contracted service level.
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Acknowledgements
We kindly acknowledge the team composed by Bernardo Bernardes, Davi Pereira, Hugo Luis, and Vanessa Bezerra for their effort on a preliminary version of this work.
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Corgozinho, M.C.B., Ferreira, V.A.S., de Freitas Almeida, J.F. (2020). Scaling Hospital Laboratory Queues via Discrete Event Simulation Using Simpy. In: Leiras, A., González-Calderón, C., de Brito Junior, I., Villa, S., Yoshizaki, H. (eds) Operations Management for Social Good. POMS 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-23816-2_12
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