Mineração de dados e indicadores de processo na indústria

Abstract

In these days, the volume of process data recorded in the industries has become exponentially higher, due to the high demand for the history of plant processes, but this increase in the volume of data imposes difficulties to control and monitor the manufacturing processes, because of this is essential to transform this data into information that allows a quick and assertive decision. As in the most part of industries the processes are continuous, this information should allowed monitoring the impact and efficiency process of the plant. Thus, data mining meets this need, allowing correlations between variables, so that information representative of reality can be created, as well as could be built key indicators representing process variables and highlighting the of factors that the process must be aware.