Modelos estatísticos integrados à metodologia Lean Seis Sigma visando ao aumento da produtividade na obtenção do etanol / Statistical models integrated with Lean Six Sigma methodology in order to increase productivity in obtain of ethanol




The sugarcane is one of the most important economic businesses in Brazil, in both terms of trade balance and job opportunity. Alcohol (ethanol), obtained from sugarcane, is a fuel cleaner, because it contains oxygen in its composition and is used in vehicles powered by ethanol, on the composition of automotive gasoline and ex-fuel vehicles. Ethanol burning produces 25% less carbon monoxide and 35% less nitrogen oxide than gasoline. Thus, the nations that concern on reducing their levels of air pollution consider it as an important and available solution to be adopted as an automotive fuel. So, this trial aimed at making some proposals for improving quality and productivity of this sector, focused on the performance of processes and products, according to some statistical methods. The studied methodology was Lean Six Sigma, applied in the production process of ethanol, in a sugar and alcohol Plant in order to speed up its process by reducing waste and variability. The Lean Six Sigma methodology was carried out using the DMAIC model (Dene, Measure, Analyze, Improve and Control). The multiple linear regression tool described the relationship among the output variables (Y) and the input variables (X), associated to the methods of variable selection. The mapping of ethanol production process enabled the identication of steps that add, and does not add value to the process. The results showed a signicant reduction in the Lead Time as well as to identify the main variables involved in the production process of ethanol.


lean six sigma sugarcane biofuel. estatística - modelos cana-de-açúcar produtividade. biocombutíveis etanol análise de regressão e correlação regression analysis

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