This development has implied a production processes and its sequencesā analysis, to thereby obtain the processā events that are going to be registered in the SQL database. A filtration of the registered information and its visualization make possible the detection of productivity lose incidences and therefore, its improvement.
The inversion return of this project is immediate, because it is passed from the decision of the application of productivity solutions based in human analysis using the sheet of papers collected by workers, to actuations based on the automated data collecting of the plant.