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The control chart is a graph used to study how a process changes over time. Data are plotted in time order. A control chart always has a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit. These lines are determined from historical data.

Statistical Process Control (SPC) Charts Rule 1 = Any point outside the control limits. Rule 2 = Seven consecutive points all above or all below the centre line, or all increasing or decreasing: Rule 3 = Unusual pattern or trends within the control limits:

Explanation of the rule of seven (heuristic) on a Control Chart with the help of an example and exercise. The rule of seven states that if seven or more consecutive measurements fall on one side of the mean that there's an assignable cause that needs investigation.

Types of Control Charts X-Chart. X-Charts present variable data. ... P-Chart. P-Charts are used for data that is counted. ... NP-Chart. NP-Charts are used to present the number of nonconforming or conforming items. ... C-Chart. ... U-Chart. ... MR-Chart. ... Individual MR-Chart. ... Custom Data Control Chart.

These seven basic quality control tools, which introduced by Dr. Ishikawa, are : 1) Check sheets; 2) Graphs (Trend Analysis); 3) Histograms; 4) Pareto charts; 5) Cause-and-effect diagrams; 6) Scatter diagrams; 7) Control charts.

The following rules can be used to properly interpret control charts: Rule 1 ? One point beyond the 3 ? control limit. Rule 2 ? Eight or more points on one side of the centerline without crossing. Rule 3 ? Four out of five points in zone B or beyond. Rule 4 ? Six points or more in a row steadily increasing or decreasing.

Control Charts are a key tool used in the Six Sigma methodology. They help you measure and track process performance, identify potential problems, and determine corrective actions. Control charts are an essential tool used in Six Sigma to monitor process stability and improve quality.