A computational structure for simulation optimization based on Simulated Annealing to evaluate the performance of Emergency Medical Systems
the case of SAMU in the cities of Ouro Preto and Mariana
DOI:
https://doi.org/10.5585/exactaep.2022.21836Keywords:
simulation optimization, simulated annealing, emergency medical services,, response time, SAMUAbstract
The response time of an Emergency Medical System (EMS) is a preponderant metric of efficiency, since providing fast assistance to emergency victims determines the minimization of permanent sequelae while maximizing the patient's survival rate. In this article, we propose a simulation model via optimization, developed in Python language, capable of evaluating the performance of SME's. We applied real data from a Brazilian SME to the proposed method and verified, from the results obtained, which strategic configurations would result in a reduction of approximately 10% in the average response time. In addition, the importance of considering other variables together with the number of inhabitants was verified, in determining the number of ambulances necessary to meet the emergency demands in the pre-hospital service.
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