289 resultados para Regressão logística


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The concept of EDI -Electronic Data Interchange is normally used to determine integration technologies between companies. Logistically, this implies in the integrationbetween enterprises in supply chain, involving the electronic transmission of data and thus reducing human intervention in the process, still favoring organizational performance. This study investigated the main benefits of EDI for organizational competitiveness and its possible impacton improving logistics performance of four companies comprising large national networks. Through multiple case studieswere able to identify common features that the use of EDI can favorer these companies. The results were significant and assume that the use of this tool can add value to logistics, primarily through streamlining processes, inventory optimization, cost reduction and performance improvement potential. Thus, the use of Electronic Data Interchange as a strategic tool for logistics proved, through this study, an efficient alternative for business improvement and good practice, able to leverage competitive advantages not only for individual companies, but also for the entire supply chain.

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This paper analyzed the energy flow of a route currently designed to transport ethanol from the Midwest region of Brazil for exportation, more precisely from the city of Aparecida do Taboado (MS) to the port of São Sebastiao (SP). The route studied a single modal combined into two pieces, duct - duct. The direct and indirect energy, involved in the operations were used to account for the inputs and outputs of energy from and into the system. The energy input and output were the variables, diesel fuel, lubricants, greases, indirect energy consumption of machinery and equipment, power consumption of labor, the energy consumption and energy consumption in depreciation and maintenance of roads. We found that this route has specific energy consumption of 0,14 MJ km-1 m-3 . The Net Energy Gain (GEl), the Energy Efficiency global (EEg) and Renewable Energy Balance (BEr), which were the energy indicators adopted in this study were obtained respectively: 1.585.958.977,00 MJ; 200,72 and 1.593.900.000,00MJ.

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model