176 resultados para Otimização de carteiras
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This work aimed to develop an optimization methodology for reservoir sizing in rainwater harvesting systems in order to increase the economic viability of projects in this area. For this, concepts of Operations Research were used so as to develop mathematical programming problems related to minimizing the life cycle cost and maximizing efficiency. The results obtained for different sizing methods were presented based on a case study, emphasizing the importance of tools that are able to provide a more accurate analysis and tend to significantly increase the economic viability of rainwater harvesting systems.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Modelagem matemática para otimização de um potencial hidráulico utilizando turbinas Francis e Kaplan
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Pós-graduação em Engenharia Mecânica - FEG
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Pós-graduação em Engenharia de Produção - FEB
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Pós-graduação em Matemática em Rede Nacional - IBILCE
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Pós-graduação em Ciência da Computação - IBILCE
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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A vespa social Polybia paulista (Hymenoptera, Vespidae) é bastante abundante e endêmica nos Estados de São Paulo e sul de Minas Gerais. Os indivíduos da espécie causam um elevado número de acidentes de importância médica. Após a ferroada a vítima pode experimentar reações imunológicas locais e/ou sistêmicas, que em alguns casos podem conduzir a anafilaxia e morte. O diagnóstico e terapia de alergia à ferroada de P. paulista é baseado no uso de extrato de veneno bruto o que se associa à ocorrência de reatividade cruzada e reações imunológicas adversas durante a imunoterapia. O uso de alérgenos recombinantes (r) tem-se mostrado como uma alternativa interessante para reduzir o impacto destas desvantagens. Neste trabalho, foram avaliadas diferentes condições para otimizar a expressão recombinante e solubilização dos corpúsculos de inclusão da fosfolipase A1 (Poly p 1) (70kDa) do veneno de P. paulista previamente obtida mediante expressão heteróloga no sistema procariótico, Escherichia coli. Os resultados aqui obtidos contribuirão para aumentar as quantidades do r Poly p 1 necessárias para sua avaliação bioquímica e imunológica, e finalmente para melhorar os resultados do diagnóstico e imunoterapia específica de alergia ao veneno de P. paulista
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In the current economic scenario, it is important to the incessant search for improvements in production quality and also in reducing costs. The great competition and technological innovation makes customers stay more and more demanding and seek multiple sources of improvement in production. The work aimed to use the general desirability to optimize a process involving multiple answers in machining experiment. The process of cylindrical turning is one of the most common processes of metal cutting machining and involves several factors, in which will be analysed the best combination of the input factors in machining process, with variable response to surface roughness (Ra) and cutting length (Lc) that vary important answers to measure process efficiency and product quality. The method is a case study, since it involves a study of a tool well addressed in the literature. Data analysis was used in the process of doctoral thesis of Ricardo Penteado on the theme using metaheuristicas combined with different methods of bonding for the optimization of a turning process of multiple responses, then used the desirability and analysis tool. Joint optimization by desirability, the method proposed the following combination of input variables, variable cutting speed at 90 m/min ( -1 level), the breakthrough in 0, 12 mm/revol. ( -1 level), the machining depth should be in 1.6 mm (level 1), gum used must be the TP2500 ( -1 level), in abundant fluid (level 1) and laminated material (level 1) to the maximization of the cutting length (Lc) and minimization of roughness (Ra)
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This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA