A control chart is a statistical tool used to monitor and control the quality of a process over time. It is often used in manufacturing and other industries to track production processes and ensure that they are performing within acceptable limits.
The control chart works by plotting a series of data points over time, and then calculating the mean and standard deviation of these data points. The upper and lower control limits are then calculated based on these values, typically at three standard deviations from the mean.
As new data points are added to the chart, they are plotted and compared to the control limits. If a data point falls outside of the control limits, this suggests that the process is no longer under control and corrective action may be required.
Control charts can be used for a wide range of quality metrics, such as defect rates, cycle times, and other performance indicators. They are often used in conjunction with other quality control tools, such as Six Sigma, to ensure that processes are continuously improved and meet customer expectations.
In summary, control charts provide a graphical representation of process performance over time, allowing teams to quickly identify when a process is out of control and take corrective action. They are an important tool for quality control and process improvement in many industries.
Usage
It is used in Quality Management
