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This work uses a simulation model to analyze the use of ambulances present in emergency medical services (SAMUs) in relation to the schedule of beginning work shifts and the time patients wait in relation to shift start times. For the development of the model, information was collected from studies present in the literature and applied government recommendations for ambulances by inhabitant. The model was executed for different amounts of effective calls per day to analyze system congestion and the impact of changing shift start times on waiting times. The results demonstrate that the system has congestion with 25 effective calls per day, and shifts started at 8 am and 11 am have a shorter average waiting for patients for care. These results validate that the change in the start time of shifts improves system performance without increasing costs.

The objective of this paper is to provide an applied research comparing the traditional and bootstrap methods to calculate the measure uncertainty. For this purpose, were performed a dimension analysis for internal and external diameter on one lot with around one hundred parts from a Brazilian company. Following, were performed resamples with replacementbootstrap samplesfor each dimension obtained and then the uncertainty calculation. After that, it was concluded that the proposed method is the most appropriate, because decreases the bias of estimation when it works with small sample size, which is common on metrology works. The companies researched assert that they do not perform the uncertainty calculation on dimension

Dedico este trabalho à minha mãe Syrlei Mendes Gigante. AGRADECIMENTOSAgradeço em especial ao Prof. Dr. Marcelo Seido Nagano, pelo empenho e dedicação em me indicar o melhor caminho para o desenvolvimento de um bom trabalho.Agradeço meu pai, irmão e noiva pelo apoio na minha busca pessoal pelo conhecimento e crescimento profissional.Agradeço a todos os que me auxiliaram de alguma forma no desenvolvimento deste trabalho.