Auxílio à tomada de decisão para roteamento de ambulâncias públicas utilizando algoritmos de otimização

• Autor(a) principal: Souza, Gustavo dos Anjos de
• Data de Publicação: 2021
• Outros Autores: Gonsalves, Jonathan de Oliveira, Guarezi, Leonardo Padilha, Hoffmann, Thomas Felipe
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório do Centro Universitário Braz Cubas
• Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/3641
• topic: Algoritmos; Otimização; Ambulâncias; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO

The time between receiving an emergency call to the Mobile Emergency Care Service (SAMU) and the arrival of a mobile service unit at the requested location is critical for a high survival rate. For this to be possible it is necessary to have several integrations between the phone records, call descriptions, and tools that help in the allocation of ambulances in an efficient way. However, the existing tools have not the best performance on helping the operators because the current process is not automated and is not very efficient. Furthermore, there is plenty of room for error during the process, since many decisions are made subjectively by human beings. In this scenario, this paper aims to build a software capable of gathering real-time information from Curitiba's SAMU ambulances and emergency calls, recommending the best available resources to be allocated to each occurrence. The software generates the recommendation through an optimization algorithm that, based on attributes about the ambulances and information acquired about the emergencies, recommends which is the resource that will take less time to arrive at the destination. Through the comparison of the simpler algorithm and the multi-objective optimization algorithm it was possible to verify that both solve the current SAMU ambulance allocation problem, but the multi-objective algorithm has a response 7% faster.