Dissertações

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/174

Dissertações produzidas oriundas de convênios

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2016 - 20192

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Tem arquivos: SimAssunto: search.filters.subject.Simulação por computador

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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    UTILIZAÇÃO DE SOFTWARE COMERCIAL PARA A OTIMIZAÇÃO DE FLUXO DE PRODUÇÃO
    (Instituto de Tecnologia, 2016) VIEIRA, Kellen Bicho; QUARESMA, João Nazareno Nonato
    This study presents a case based on real production data, in which computer simulation was used to analyze the efficiency of the current physical layout. Using discrete event software, it was possible to visualize the assembly line and test strategies for layout restructuring. The method included on-site data collection, literature review, and computational modeling, resulting in the optimization of the production flow and the identification of improvements. Abstract: This study presents a case based on real production data, in which computer simulation was used to analyze the efficiency of the current layout. A discrete event software allowed a broader visualization of the assembly line and testing of layout restructuring strategies. The method included on-site data collection, literature review, and computational modeling, leading to production flow optimization and identification of improvements.
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    Aprimoramento do Desempenho do Controlador Preditivo Multivariável Aplicado em Coluna Depropanizadora Utilizando Filtro de Kalman
    (Instituto de Tecnologia, 2019) GOMES, Cássio Ferreira; MACEDO, Emanuel Negrão
    The increase in the efficiency of industrial processes has become essential due to high market competitiveness. In this context, techniques that improve the performance efficiency of industrial plant control systems, minimizing costs and maximizing product quality, are relevant. The use of the Kalman Filter in process variables that feed control systems allows noise and uncertainty reduction, improving stability and industrial system performance. This study presents the results of the Kalman Filter implementation in the depropanizer column of an industrial process, controlled by a Multivariable Predictive Controller, using real data and simulations in the MATLAB/SIMULINK platform.