This collection of commonly used Excel templates for statistical process control covers capability indices and various control charts, suitable for quality engineers to quickly set up data collection and anomaly detection processes on-site.
The download package usually contains sample data and layout, which can be customized according to the company's measurement units and anomaly detection rules.
First, ensure the process is under control and the sample size meets statistical requirements before using Cpk/Ppk conclusions; control limits should be estimated using historical stable data and clearly documented in the control plan.
Link with MSA conclusions: do not draw strong conclusions based solely on Cpk if the measurement system fails the GRR test.
Avoid mixing data from different batches or fixtures within subgroups, which can lead to false stability; do not overload the anomaly detection rules without corresponding on-site actions.
Distinguish between short-term and long-term capability, and label Ppk/Cpk according to industry conventions when required by the customer.