Meaning
Statistical measurements of process capability show a reduction in value as the distribution of part dimensions drifts away from the mean or widens. In a manufacturing context, cpk decay indicates that a process is becoming less reliable and more likely to produce scrap. This metric tracks the relationship between the actual spread of the process and the allowable tolerance limits.
A declining value signals that the safety margin between the production output and the reject limit is shrinking.
Trend Analysis
Wear on cutting tools or gradual shifts in machine alignment often cause this downward movement. Monitoring cpk decay allows the prediction of failure before a defective part is produced. Statistical software visualizes this shift by plotting the capability index over several shifts.
Early detection prevents a sudden spike in rework.
Yield Impact
A process with a high initial capability can absorb some drift without immediate failure. However, cpk decay eventually pushes the tail of the distribution curve past the specification limit. This leads to a loss of production yield.
Corrective Trigger
Maintenance teams use this metric to decide when to overhaul a machine or replace a critical component. If cpk decay happens faster than the supplier’s forecast, it suggests an underlying problem with the material and the machine. Sustaining a high rate of production requires a plan to reset the process before the index falls below 1.33.
This threshold ensures that the equipment remains capable of meeting customer demands without constant inspection.