Understand whether the process can consistently meet the required specification.
Process capability compares the natural variation of a stable production process with the allowed specification range. Capability analysis is meaningful only when the measurement system is reliable and the process is sufficiently stable to represent normal production behavior.
Track the losses that consume capacity without creating good output.
Rework, defects, process variation, inspection, scrap, and yield should be tied back to the production conditions that created them.
Move from detection toward prevention.
Inspection is necessary, but the larger gain comes from making the process stable enough that fewer defects are created in the first place.
CRIT-AConfirm Measurement Reliability
A process cannot be judged accurately when the measurement system itself is unstable or poorly calibrated.
Related Guide →CRIT-BCheck Stability First
Capability statistics should describe normal process behavior rather than a mix of shifts, faults, startups, and special-cause events.
Related Guide →CRIT-CReview Center and Spread
A process can miss requirements because it is too variable, poorly centered, or both.
Related Guide →CRIT-DConnect Capability to Yield
Improved process stability should appear as better yield, fewer defects, and less rework or scrap.
Related Guide →Visualize the quality loss and process behavior.
These diagrams separate recurring quality loss from overall process stability and improvement trend.
Loss trend.
Track recurring quality loss over time to see whether changes are reducing the problem.
Process stability.
Stable process behavior supports better yield and fewer quality escapes.
Relevant inspection and measurement resources.
References are selected from the uploaded TempoJS link inventory.