241 resultados para Análise Envoltória de Dados.

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Studies about efficiency have gained dimension, in Brazil, since the early 90’s. Same decade that the Civil Aviation System suffers important changes in terms of regulations. Such transformations have echoed effects currently, with some significant trend for international standards. This paper focuses on one of the agents from the Brazilian Civil Aviation System, the airlines companies, which aimed on analyze and evaluate both passengers and cargo air transport, by using data envelopment analysis (DEA), during the period of 2005 to 2010. The yearbooks of ANAC, corresponding at the period from 2005 to 2010, were used as data base in this present study. The technique was applied to 14 companies, which through Stepwise process of variables validation was possible to compose a compact, but complete model, that could translate the reality of companies. This model was composed by one output, Total Income, and by four inputs, Total Costs, Total Domestic Passenger, Total Cargo and Total International Passengers. However, this approach has some flaws. Therefore in order to remedy it, it was required to apply the method Frontier Inverted, one of the alternatives proposed in the literature, which ensured an improvement in the context of efficiencies due to biggest discrimination of airlines. As a result of the DEA-BCC process, oriented by output, TAM 2005 was considered the most efficient company, however GOL and Webjet companies concentrated in 2007 their worst levels

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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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

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Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria

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Organizational change is occurring in the Brazilian agribusiness from sugar cane in recent decades. Aspects of management in this sector are being changed due to the importance of its products, especially ethanol and electricity. It is observed in the literature a lack of quantitative studies in this Brazilian sector, particularly the selection of sugarcane varieties for planting. This study proposes the use of Goal Programming (GP) with Data Envelopment Analysis (DEA) to select efficient varieties of sugarcane for planting in a sugar and ethanol milling company. The study allowed the identification of efficient sugarcane varieties. This way, it helped the company to make more reliable decisions, favoring the increase of productivity

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Geofísica terrestre (magnetometria e radiometria) foi utilizada como ferramenta de apoio ao mapeamento geológico em uma área de pesquisa mineral da Companhia Mineradora de Minas Gerais (COMIG), denominada Alvo Bueiro, localizada a sudeste da cidade de Morro do Pilar, na Serra do Espinhaço, Estado de Minas Gerais. A integração de informações de geologia de superfície com os dados geofísicos correspondentes permitiu definir quatro zonas: A, B, C e D. A Zona A, caracterizada por altos valores de susceptibilidade magnética e baixos valores de radiometria, é composta por itabiritos do Grupo Serra da Serpentina. A Zona B, pertencente ao mesmo grupo, é constituída por filitos cinza e metassiltitos e mostra baixa susceptibilidade magnética; interrupções nas linhas de contorno foram interpretadas como decorrentes de falhas de empurrão. A Zona C, relacionada à Seqüência Vulcano-Sedimentar Rio Mata Cavalo, é caracterizada por uma expressiva anomalia do campo magnético total em xistos máficos e ultramáficos com lentes de formações ferríferas e filitos carbonosos negros; esta zona hospeda as mais importantes anomalias geoquímicas de ouro conhecidas na área em estudo. A Zona D, correspondente a ortognaisses cisalhados do Complexo Dona Rita, mostra os mais elevados valores de radiometria do Alvo Bueiro e baixas respostas magnéticas.

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A abordagem qualitativa em pesquisa nas áreas da Educação e Ciências Sociais tem representado um caminho alternativo à rigidez positivista. Entretanto, vem preocupando os pesquisadores brasileiros pela sua característica de não sistematização. Face a isso, o presente trabalho visa contribuir para uma discussão metodológica sobre análise qualitativa ao relatar um procedimento sequenciado, sistematizado e passível de ser aplicado a dados de entrevista semi-estruturada e livre, que compreende todos os passos, da construção do instrumento para coleta de dados à apreensão do significado das falas dos sujeitos, terminando numa redação precisa, dentro do enfoque teórico do pesquisador.

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Pós-graduação em Ciências Cartográficas - FCT

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Geografia - IGCE

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Matematica Aplicada e Computacional - FCT