Geração de simuladores de filas para diferentes contextos com estudo de casos para redes de computadores

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo da cadeia petrolífera no Brasil: uma contextualização das tendências da indústria nacional e das relevâncias do PRH48

In the past few years, the Brazilian oil and gas sector had a considered growth, gaining enough relevance at international level, and being extremely important for the Brazilian socioeconomic development. However, the sector is still limited due to technical deficiencies. This work aims to conduct a current study, comprehending the entire oil chain, since it is possible to mention the Brazilian market updates on this context. To support this study, the historical development of the Brazilian petroleum industry was presented and the main stages of the production process were exposed with an emphasis on exploration and production phases. The new technologies developed for deepwater extractions, such as the pre-salt regions, were also discussed and, in the end, the relation of this growing market with the opportunities of the Human Resources Program of n. 48 was highlighted. This program identifies the market's actual needs and it's scarce's areas with the purpose of building capacity and qualified workforces, since it is also aimed, in a national level, a self-sufficient human resources for the sector

Análise envoltória de dados combinada com a lógica fuzzy em problemas de avaliação de eficiência de máquinas de consumo: um estudo em empresa do segmento farmacêutico

The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper