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Scaling Hospital Laboratory Queues via Discrete Event Simulation Using Simpy

Springer Proceedings in Business and Economics (2020) 119-128
DOI: 10.1007/978-3-030-23816-2_12
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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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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 Springer Proceedings in Business and Economics (pp. 119–128). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-23816-2_12

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