Submitted by Erika Demachki (erikademachki@gmail.com) on 2016-10-17T18:54:20Z No. of bitstreams: 2 Dissertação - Luciano Eduardo Braga dos Santos - 2016.pdf: 4527753 bytes, checksum: 8db193f1cca4949ecdcfe2e93d9399f2 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Erika Demachki (erikademachki@gmail.com) on 2016-10-18T17:16:29Z (GMT) No. of bitstreams: 2 Dissertação - Luciano Eduardo Braga dos Santos - 2016.pdf: 4527753 bytes, checksum: 8db193f1cca4949ecdcfe2e93d9399f2 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2016-10-18T17:16:29Z (GMT). No. of bitstreams: 2 Dissertação - Luciano Eduardo Braga dos Santos - 2016.pdf: 4527753 bytes, checksum: 8db193f1cca4949ecdcfe2e93d9399f2 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-06-17 / Fundação de Amparo à Pesquisa do Estado de Goiás - FAPEG / This work prop oses numerical metho d of simulation and optimization of waiting time in queues in hospital emergency. The case study is carried out in private hospital in the city of Goiania, Goias/Brazil. It is used to mo del discrete event systems as computational simulator and two optimization heuristics: the Brute Force algorithm and Genetic Algorithm. The optimization results are compared with the directives found in Resolution CFM 2077/2014, in an attempt to adapt the system to this resolution. With the results, it is observed that the simulation metho d and optimization metho ds are efficient to minimize queues at hospital emergency system. / Este trabalho prop˜oe m´eto do num´erico de simula¸c˜ao e otimiza¸c˜ao do temp o de esp era nas filas da emergˆencia hospitalar. O estudo de caso ´e realizado em hospital da rede particular, do munic´ıpio de Goiˆania. Utiliza-se a mo delagem de sistemas a eventos discretos como simulador computacional e dois m´eto dos heur´ısticos de otimiza¸c˜ao: o Algoritmo de For¸ca Bruta e o Algoritmo Gen´etico. Os resultados da otimiza¸c˜ao s˜ao comparados com as diretivas encontradas na Resolu¸c˜ao CFM no 2077/2014, na tentativa de adequar o sistema a esta resolu¸c˜ao. De posse dos resultados obtidos, observa-se que o m´etodo de simula¸c˜ao e os m´etodos de otimiza¸c˜ao s˜ao eficientes para minimiza¸c˜ao de filas em sistema de emergˆencia hospitalar.