Control charts are powerful tools used by many industries to monitor the quality of their processes and detect special causes of variation. They are often used to monitor the mean and the variance of some process quality characteristic with the well-known Xbar and S2 Control Charts, respectively. In their original formulation, if the actual process mean (µ) or variance (s2) are different or larger from their specified in-control values (µ0 and s02, respectively), the process is declared out of control. However, in many practical situations, even though the process may be declared out of control, it might be still capable from a practical point of view in terms of the proportion of nonconforming items produced. Thus, it may not be necessary to stop the process and start looking for assignable causes, which can save time and resources. The Modified Control Charts were designed to monitor the process mean in such a capable situation. With this background as motivation, in this paper, we propose the use of the Modified Control Charts for monitoring the process dispersion.