Data modeling is a technique that assists decision making and the resolution of several types of problems in real systems. However, choosing the best technique for modeling a real system is not always an easy task, as each ...

This thesis work presents a synthetic model of application of the Quality Function Deployment (QFD) accomplished in the process of welding in fine foils for the Pulsed MIG/MAG method. This work presents an auxiliary model ...

A time series is defined as a collection of observations of a variable over time, whose data order has a fundamental importance due to the dependence between these consecutive values. The analysis of these data, and the ...

This study demonstrates the implantation of the Statistical Process Control in a textile industry, which main activity is the polyester filaments texturing. The main objective is to evaluate the productive process enabling ...

Many engineering problems involve the optimization of the unknown objective function. Recently, active search has emerged as a powerful tool to solve problems of this nature, whose objective function involves high ...

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Accurate forecasting is crucial for several areas of knowledge, such as Economics, Management, Engineering and Statistics. There are several approaches to perform forecasting: time series analysis, regression analysis, ...

This work proposes a new approach to short-term load forecast for power distribution substations using the artificial neural network ensemble. In this sense, the main objective of this approach is to make predictions for ...

This work proposes to determine a consistent and representative quantitative model for the volatility forecast of electric power demand, for independent consumers, in short-term regimen, through the simulation of GARCH ...