What is Statistical Process Control and provide a practical CBM T6 example?

• A. SPC is for financial metrics.
• B. SPC is only about collecting data; no action.
• C. Control charts monitor process variation, identify assignable causes, and keep process within capability; example: charting product dimensions.
• D. SPC only used in manufacturing, not CBM T6.

Answer: (C)

Statistical Process Control uses control charts to monitor how a process varies over time, so you can tell apart normal, random variation from variation caused by a specific issue. By tracking measurements and watching for signals such as points outside control limits or nonrandom patterns, you identify assignable causes and take corrective action before defects accumulate. This helps keep the process within its capability and within specification.

In a CBM T6 context, a practical example is charting a critical product dimension, like diameter, for parts produced on a line. You collect samples, plot each measurement on a control chart with a central line and upper and lower control limits, and observe the pattern. If the data stay within the limits and vary randomly, the process is in control. If you see a point beyond a limit, a run, or a trend, that signals an assignable cause—perhaps tool wear, calibration drift, or a fixture issue—and you investigate and fix it to restore control. This approach helps prevent out‑of‑spec parts and aligns maintenance actions with process reliability.

These ideas aren’t limited to finance or to purely data collection with no action, and SPC isn’t confined to manufacturing; it’s applicable to CBM contexts where maintaining stable, capable processes reduces unexpected failures and maintenance needs.