31 resultados para Production engineering Data processing


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In geophysics and seismology, raw data need to be processed to generate useful information that can be turned into knowledge by researchers. The number of sensors that are acquiring raw data is increasing rapidly. Without good data management systems, more time can be spent in querying and preparing datasets for analyses than in acquiring raw data. Also, a lot of good quality data acquired at great effort can be lost forever if they are not correctly stored. Local and international cooperation will probably be reduced, and a lot of data will never become scientific knowledge. For this reason, the Seismological Laboratory of the Institute of Astronomy, Geophysics and Atmospheric Sciences at the University of São Paulo (IAG-USP) has concentrated fully on its data management system. This report describes the efforts of the IAG-USP to set up a seismology data management system to facilitate local and international cooperation. © 2011 by the Istituto Nazionale di Geofisica e Vulcanologia. All rights reserved.

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Studying the physical environment of a watershed is the basic condition for a successful planning of the riparian forest preservation, and for water production and conservation. The aims of the present study were to analyze and quantify the spatial and temporal evolution (1984 and 2010) using Landsat-5 satellite images of Cintra Stream sub-watershed, Botucatu, São Paulo State, Brazil, processed by the software IDRISI Andes, as well as to analyze the water quality through the parameters pH, EC, DO and BOD5 at 4 different sites in the years 1999, 2008 and 2009. Considering the 1076.48ha area of the sub-watershed, the pasture class of 1984 was reduced by 25.55% in 2010, resulting in an increase in the remaining classes. The most important class was native forest and reforestation since it had an increase of 5.08%, which indicates recovery of the riparian forest. Degraded areas were identified close to the inferior limit of the sub-watershed (P3 and P4), as well as local contamination (P1 and P2) with worsening of the water quality in the remaining sites in the periods 2008 and 2009. Recovery and management of the ecological succession of degraded areas and water quality monitoring at 1 and 2 sites will be necessary to reestablish the natural condition of the area studied.

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Non-technical losses identification has been paramount in the last decade. Since we have datasets with hundreds of legal and illegal profiles, one may have a method to group data into subprofiles in order to minimize the search for consumers that cause great frauds. In this context, a electric power company may be interested in to go deeper a specific profile of illegal consumer. In this paper, we introduce the Optimum-Path Forest (OPF) clustering technique to this task, and we evaluate the behavior of a dataset provided by a brazilian electric power company with different values of an OPF parameter. © 2011 IEEE.

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In this paper we present a mixed integer model that integrates lot sizing and lot scheduling decisions for the production planning of a soft drink company. The main contribution of the paper is to present a model that differ from others in the literature for the constraints related to the scheduling decisions. The proposed strategy is compared to other strategies presented in the literature.

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Intercropping corn (Zea mays L.) with forages, such as palisadegrass {Urochloa brizantha (Hochst. ex A. rich.) r. D. Webster [syn. Brachiaria brizantha (Hochst. ex A. rich.) Stapf]} or guineagrass [Megathyrsus maximus (Jacq.) B. K. Simon & S. W. L. Jacobs (syn. Panicum maximum Jacq.)], provides large amounts of biomass for use as straw in no-tillage systems or as pasture. However, it is important to evaluate what time these forages have to be sown into corn systems to avoid reductions in both corn and forage production. This study, conducted for three growing seasons at Botucatu, Brazil, evaluated nutrient concentration and yield of corn as affected by time of forage intercropped as well as forage's dry matter production. our data showed that intercropping systems did not reduce leaf nutrient concentrations and grain yield of corn in relation to sole corn. The simultaneous intercropping of corn and guineagrass resulted in the lowest plant population (51, 200 plant ha-1), number of ears per plant (1.0), and, consequently, the lowest corn grain yield (9801 kg ha-1). Guineagrass seeded at the time of corn fertilizer topdressing resulted in the highest plant population (59, 400 plants ha-1), number of ears per plant (1.2), and corn grain yield (12, 077 kg ha-1). Forage production was highest when intercrop was done simultaneously. palisadegrass could be intercropped with corn both simultaneously or at topdressing fertilization stage. In contrast, it is recommended that guineagrass should only be intercropped with corn at topdressingfertilization. © Crop Science Society of America.

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This work developed a methodology that uses the thermoeconomic functional diagram applied for allocating the cost of products produced by a biodiesel plant. The first part of this work discusses some definitions of exergy and thermoeconomy, with a detailed description of the biodiesel plant studied, identification of the system functions through Physical Diagram, calculation of the irreversibilities of the plant, construction of the Thermoeconomic Functional Diagram and determination of the expressions for the plant's exergetic functions. In order to calculate the exergetic increments and the physical exergy of certain flows in each step, the Chemical Engineering Simulation Software HYSYS 3.2 was used. The equipments that have the highest irreversibilities in the plant were identified after the exergy calculation. It was also found that the lowest irreversibility in the system refers to the process with a molar ratio of 6:1 and a reaction temperature of 60 °C in the transesterification process. In the second part of this work (Part II), it was calculated the thermoeconomic cost of producing biodiesel and related products, including the costs of carbon credits for the CO2 that is not released into the atmosphere, when a percentage of biodiesel is added to the petroleum diesel used by Brazil's internal diesel fleet (case study). © 2013 Elsevier Ltd. All rights reserved.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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O jogo de empresas Mercado Virtual foi desenvolvido para mediar o processo ensino-aprendizagem na área de tomada decisão e gestão de empresas e tem um banco de dados que armazena as decisões dos alunos. Os dados nele armazenados foram analisados em relação ao balanceamento de capacidade, objetivo de lucro e uso de recursos financeiros da empresa e foram encontradas incoerências entre os conteúdos pertinentes ao modelo e as decisões dos alunos. Elas foram classificadas como lacunas de aprendizado. Com o objetivo de analisar se as mesmas se repetem entre alunos do Programa de Mestrado Engenharia de Produção da UNESP de Bauru e Mestrado Integrado em Engenharia Industrial e Gestão da Uminho de Guimarães, Portugal, foram realizados dois experimentos, um em cada grupo. Para realizá-los utilizou-se o jogo Mercado Virtual e uma planilha de dimensionamento da empresa nos dois locais. A Sala de Estudos, os indicadores e o questionário de pesquisa da opinião foram utilizados somente em Portugal. Os resultados mostraram que o jogo é capaz de evidenciar as diferenças de domínio de conteúdo nos dois grupos e, também, que estas diferenças estão associadas aos projetos dos cursos. Sendo uma pesquisa exploratória, os experimentos foram realizados considerando-se somente os controles do jogo. Por isso, propõe-se a realização de pesquisas adicionais combinando controle sobre algumas das variáveis relacionadas do uso do jogo e atuação sobre aprendizagem dos alunos na forma de entrevistas e pesquisas não estruturadas. Conforme previsto, a pesquisa mostrou que os jogos podem ser utilizados com objetivos de aprendizagem mais amplos, considerando-se a avaliação indireta e cruzada sobre as decisões tomadas pelos alunos, como é o caso dos indicadores. Outra contribuição importante da pesquisa refere-se ao uso de jogos de empresas sob condições pouco controladas, ou seja, não houve...

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Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

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Through observation of production process of a Vale do Paraiba’s automobile industry, one can encounter in need of improvement related to large uncertainties and variations in the production environment, a fact that inspired the search for solutions that can respond quickly to these changes. This way, the paper describes the development of a flexible manufacturing model, which aims to optimize the process in an automotive sub-assembly industry of the Paraíba Valley. The main objective is to propose a method to promote viable alternatives to easing the assembly of parallel sub performed the assembly of cars. For the construction of the model was necessary to explore concepts of flexible manufacturing and making the data presented in literature, which were vital to ensure the development of the method. The concepts discussed are usually presented at an undergraduate degree in Engineering. Data compiled by the model are able to serve as a strategic benchmark for decision making by managers. Featuring alternative response variables and uncertainties of the organizational environment, a fact that facilitates the management of human resources and productive

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Through observation of the production process industries today, one can encounter the needs of the large uncertainties related improvements and changes in the production environment, a fact that inspired the search for solutions that can respond quickly to these changes. Thus, this paper describes the review of implementation of TPM (total productivity management), which aims to optimize two distinct processes in the Vale do Paraíba´s pharmaceutical industry one of through the pillar of specific improvement. The main objective is to propose an efficient alternative to proposing loss management processes by identifying and eliminating the same in a systematic process. To develop this analysis was necessary to explore concepts of TPM and tools that help in taking data, identification and clarification of the phenomena that cause failures in the process, which were essential to ensure the development of the analysis. The concepts covered are usually presented during an undergraduate degree in Engineering. Data compiled by the analysis are able to serve as a strategic benchmark for decision making by managers, providing alternative response variables and uncertainty of the organizational environment, a fact that facilitates the management of human resources and productive

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This work is quantified according to the ABEPRO areas, the number of works the Course Conclusion (TCCs) and Hours (CH) Course of Production Engineering, UNESP Guaratinguetá. Based on this quantification were found to be significant discrepancies between the TCCs and CH. Quality and Logistics observed for the larger discrepancies, with 26% and 17% of the number of TCCs, respectively. Both areas have only 6% of the time. They are also used data from researchers at the National Council of Scientific and Technological Development (CNPq) in the areas of Production Engineering. In the area of Quality and Logistics, the researchers account for 8% and 5%, respectively, but are most prominent researchers in the field of Operations Research, with 37%. However, this view can help the department to organize the curriculum, with the development of teaching projects, methods and means of education, and visibility to help future hiring for the department