79 resultados para Máquinas virtuais


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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In a highly competitive and globally integrated market, excellence in production processes has become a survival factor, instead of just a differential point. In this context, companies from various sectors have resorted to philosophies and techniques already established in the literature to improve the efficiency of their production processes. This paper discusses aspects and techniques used to improve the production efficiency of a multinational company that manufactures surgical devices to a global market. Through DMAIC methodology, there were found opportunities to improve machines' efficiency by OEE, an efficiency indicator, in Kaizen Events. A case study was conducted to analyze the methodology and to identify good practices and difficulties along the way

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Through a description of the productivity problems experienced by some enterprises, to optimize their respective production lines, results of poor performance or low quality, the following work aims to explain and demonstrate the practical application of the theory of overall equipment effectiveness (OEE) on cold lamination machines in a steel industry . The project, to ensure your goal, is based on structuring a complete planning to increase levels of performance, availability and quality relating to rolling. On completion of the work, will be presented forecasts of future goals for the OEE, to search for continuous improvement and global standards of efficiency, taking into account, the sector the company operates, the history of the laminators, and financial aspects

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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