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Tools / Quality control

Control charts and process capability: Xbar-R, I-MR, p, u, Cp, Cpk, Pp, Ppk

Paste the measurements as they are in your spreadsheet, enter the specification limits, and read whether the process is stable and capable, why another tool may show a different Cpk, and what to change. Then export the report, the workbook with formulas, or the chart.

What the tool does

Capability studies for customers and audits come down to a few charts and numbers, but the numbers depend on choices that tools make silently: how sigma is estimated, whether it is unbiased, which rules flag a point. Here each choice is visible.

How to use it

  1. Name the characteristic and enter LSL, USL and the target.
  2. Choose the layout and paste the measurements.
  3. Read the control chart first: capability means little if the process is not stable.
  4. Read the capability tab, compare the estimators if a customer reports another Cpk, and check normality.
  5. Export the report PDF, the workbook with formulas, the results or the chart.

How it was checked

The control chart constants are computed from the distribution of the range and the standard deviation and match the NIST e-Handbook table of A2, D3 and D4 for subgroups of 2 to 10 to three decimals, with c4(10) = 0.9727. Mean and standard deviation match the certified values of the NIST statistical reference datasets (Michelso, Lew and NumAcc4). The capability example of the NIST e-Handbook 6.1.6 (Cp 1.0, Cpk 0.6667) and its table of rejects (Cp 1.00: 0.27 %, Cp 1.33: 64 ppm) are reproduced, as are the chi-square points used for the Cp confidence limits.

Limits

Gauge R&R, Type 1 studies, acceptance sampling, non-normal capability (Box-Cox, Weibull fits) and AQDEF files are not covered yet. The judgement of capability is the responsibility of the quality engineer and the agreement with the customer.

Last checked 2026-10-20