Engineering Tools
Process Capability (Cpk) Calculator
Enter your spec limits and either summary statistics or raw measurement data, and get Cp, Cpk, and the estimated parts-per-million out of spec — with the distribution drawn against your limits.
Process inputs
Leave LSL or USL blank for a one-sided specification. Any consistent units work.
Reference
How the numbers are derived
Capability indices compare the spread and centering of your process against the specification window.
Equations
| Cp | (USL − LSL) / 6s — potential capability if the process were perfectly centered. Needs both limits. |
| Cpu | (USL − x̄) / 3s — capability against the upper limit. |
| Cpl | (x̄ − LSL) / 3s — capability against the lower limit. |
| Cpk | min(Cpu, Cpl) — actual capability including centering. Cpk < Cp means the process is off-center. |
| PPM | Expected fraction outside each limit from the normal distribution: PPM = 10⁶·[Φ(−zᵤ) + Φ(−zᵥ)] with z = distance to the limit in standard deviations. |
Watch-outs
- Capability indices only mean something if the process is stable — check a control chart first. An out-of-control process has no Cpk.
- These are short-term indices from sample s. Long-term performance (Ppk) uses overall variation and is usually worse.
- Non-normal data (flatness, runout, position — bounded at zero) needs transformation or different methods; blindly computing Cpk overstates capability.
- Sample size matters: below ~30 points the confidence interval on Cpk is wide. 100+ points is a much stronger statement.
- A great Cpk on the wrong characteristic proves nothing — measure what actually matters to function.
Numbers say the process isn’t capable?
A low Cpk is a symptom. The cause lives in the tolerance, the process, the fixture, or the measurement system — and fixing the right one is the difference between a tweak and a re-tool. If a capability problem is holding up your launch, bring the data to a consultation.
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