In many situations, the monitoring of process variability is associated to a failure of the characteristics of interest to preserve the quality of the process and that are characterized by the covariance matrix of the data. The last decades, much more than the control charts for changes in the covariance matrix. Thus, the article sought the process of producing graphs by applying control graphs to the variables (x ̅ and R) generated by the Minitab® software with the reduced number of screws on the screw. The methodology used is the mapping of the data, in which an estimated covariance matrix is obtained, which is used to construct the purpose control graphs. The tool used to generate graphics was the Minitab18® software. The desire came to be the process of managing levers of statistical control and quality control. How information is favored for your research through other quality tools that can aid in decision making.