Control charts can be used to improve process stability by collecting and organizing process data in a consistent and reliable way. It is important to choose the right type of control chart for your data and calculate the central value and control limits. Points on the control chart should be plotted to look for patterns or trends that indicate out-of-control conditions, such as points beyond the control limits, runs of points on one side of the central value, or cycles or shifts in the data. After investigating and identifying sources of special cause variation, corrective or preventive actions should be taken to eliminate or reduce them. The process performance should be monitored over time, with regular updates to the control chart to see the effects of your actions and check for new sources of variation.