A statistical Process Control Chart (SPC) is simply a run chart with statistically determined upper (Upper Control Limit) and lower (Lower Control Limit) lines drawn on either side of the process average. It is used to determine how much variability in a process is due to random variation and how much is due to unique events/individual actions so that you know whether or not the process is in statistical control.

- First run the process according to standard procedures. Meanwhile, take samples and put the sample averages into the appropriate formula.

- Plot the sample averages onto a chart to determine whether any of the points fall between or outside the limits or form unlikely patterns. If this happens then the process is said to be "out of control."

- Fluctuation of the points within the limits is due to variation built into the process such as design or preventative maintenance and can only be affected by changing that system.

- Fluctuation of the points outside of the limits comes from special causes such as people errors, unplanned outages, etc., which are not a part of the normal system or from an unlikely combination of steps.

- Special causes must be removed from the system to use the SPC effectively. Once this is done then the system can be described as "in control" and measurements can be taken at regular intervals to ensure that the process doesn't fundamentally change.

- Control may be positive or negative. Something can be consistently bad or good.

In this case the process is in control but is not within an acceptable range. The curve to the left of the SPC shows that the acceptable range limits are narrower than the control charted process. Either you improve the process or change your acceptable range. Just remember that an acceptable range is what you think you need and control limits are what the process can do consistently.

The pattern of control charts can show trends, shifts and cycles in the process being measured ("out of control" patterns):

There is a continued rise or fall in a series of points (7 or more consecutive points in the same direction). A trend often occurs after a change has been made to the process. This pattern can indicate if the change had a positive or negative effect.

When the points show the same pattern of change over equal periods of time, the process is considered cyclical. Knowing and understanding the cycles of a process help in making staffing decisions.

Points stay close to the center line or control limit line (2 out of 3, 3 out of 7, or 4 out of 10). This pattern suggests that the data is grouped incorrectly. Hugging the center line does not indicate a controlled process. It indicates a different type of data has been mixed into the sample, distorting the average (mean) of the process. The data needs to be regrouped into more appropriate categories, then charted on a new control chart.

Points occur continually on one side of the center line. The number of points in a run is called the "length of the run." A run suggests the process has undergone a permanent change and is now becoming stable.

A shift occurs when the mean of the process goes up or down. A permanent change in the process has occurred. Control lines should be recomputed for future interpretation.

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