291 resultados para Otimização de perdas


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Global competitiveness has been increased significantly in the last decade and, as consequence, companies are always looking for developing better processes in supply chain operations in order to maintain their competitive costs and keep themselves in the business. Logistics operations represent a large part of the product's final cost. Transportation can represent more than fifty percent of final cost sometimes. The solutions for cutting and packing problems consist in simple and low investment actions, as enhancing the arrangement of the transported load in order to decrease both material and room wastes. As per the presented reasons, the objective of this paper is to show and analyze a real application of a mathematical model to solve a manufacturer pallet-loading problem, comparing results from the model execution and the solution proposed by the company studied. This study will not only find the best arrangement to load pallets (which will optimize storage and transportation process), but also to check the effectiveness of existing modeling in the literature. For this study a computational package was used, which consists of a modeling language GAMS with the CPLEX optimization solver and two other existing software in the market, all of them indicating that an accurate mathematical model for solving this kind of problem in a two-dimensional approach is difficult to be found, in addition to a long execution time. However, the study and the software utilization indicate that the problem would be easily solved by heuristics in a shorter execution time

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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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Over the past two years, Brazil has been facing a major water crisis in its history and the state of Sao Paulo is the one that has been going through worst difficulties. In this scenario, all water users should do everything possible so that the consumption of water resources is carried out in a sustainable manner. In this context, the companies responsible for the public water supply must increase the efficiency of water resource management. It is indispensable combating losses in the public supply system. When there is a non-visible leak in a pipe, the wastewater volume can be high, but in this case, the water returns to nature and continues to participate in the hydrological cycle. The economic loss corresponds to the value added to the product water, which includes the intrinsic costs of exploration, processing and distribution. This damage results in a reduced availability of financial resources of sanitation companies to invest in environmentally friendly solutions. This study aimed to diagnose the water distribution system in the city of Guaratinguetá (SP), held by the Companhia de Serviços de Água, Esgoto e Resíduos de Guaratinguetá (SAEG), to propose measures to combat water loss. Among the proposed measures, there is the monitoring of losses, planning for replacement of old pipes and company awareness as a whole in relation to combat water losses

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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