HKIE Professional Assessment - Manufacturing, Industrial & Systems Discipline study materials
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A Gauge R&R That Invalidates a Submitted Cpk

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A Gauge R&R That Invalidates a Submitted Cpk

A Hong Kong medical-device contract manufacturer machines 316L stainless steel drive shafts to 12.000 ± 0.010 mm. The drawing requires Cpk ≥ 1.33 on this characteristic. A quality engineer measures 300 parts with a hand-held digital micrometer (0.001 mm resolution, no stand, no temperature control) on a shop floor at 28 °C, obtains Cpk = 1.67 and submits the PPAP. The customer's supplier quality engineer asks for the measurement systems analysis. The GR&R study - 10 parts drawn at random from the production bin, 3 operators, 3 trials, nominal 20 °C reference - returns %GRR = 32% of tolerance and ndc = 3. One operator reads consistently 4 µm higher than the other two. The micrometer's calibration is next due in two months. Eight thousand shafts from the same process shipped last month; two thousand sit in the warehouse. The customer's next audit is in four weeks.

1. Explain what %GRR = 32% of tolerance and ndc = 3 mean, and whether the submitted Cpk of 1.67 can be relied upon.

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What the numbers mean %GRR of 32% of tolerance says the combined repeatability and reproducibility spread consumes about one third of the 20 µm tolerance band. AIAG MSA treats below 10% as acceptable, 10–30% as conditionally acceptable with documented justification, and above 30% as unacceptable. ndc = 3 means the system can only split the process spread into about three categories, against a minimum of 5. In plain terms, the gauge cannot reliably tell a 12.005 mm part from a 12.008 mm part - and both are only halfway to the limit.

Does this invalidate the Cpk? Not in the direction people usually assume. Observed variation decomposes as σ²obs = σ²true + σ²MSA, so correcting for measurement error makes the true Cpk larger, not smaller:

  • σobs = 0.020 / (6 × 1.67) = 2.0 µm
  • 6σMSA = 0.32 × 0.020 = 6.4 µm → σMSA = 1.07 µm
  • σtrue = √(2.0² − 1.07²) = 1.69 µm → Cpk_true ≈ 1.97

So the process is probably better than reported. Nevertheless the statement 'Cpk = 1.67, therefore the process is capable' cannot be supported, for three reasons:

  1. The study was never valid. Parts drawn at random from a bin do not span the process range; MSA requires parts selected to represent the variation the gauge must resolve.
  2. Bias is not captured by GRR at all. The 4 µm operator offset shifts the mean; at a ±10 µm tolerance that consumes 40% of the one-sided margin, and GRR statistics will not show it.
  3. Decision risk dominates. Near the limits the system will misclassify parts in both directions, and it is misclassification - not distribution width - that puts nonconforming product in a box or scrapped good product in the bin.

Capability should be withdrawn or flagged as 'pending re-validation', and re-demonstrated only after the MSA passes.

2. Determine whether temperature explains the 4 µm operator bias, and set out the corrective actions with acceptance criteria for re-running the study.

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Is it temperature? Not on its own. For 316L, α ≈ 16 × 10⁻⁶/°C. A 12 mm diameter measured 3 °C away from the 20 °C reference changes by 12 × 16 × 10⁻⁶ × 3 ≈ 0.6 µm; even an 8 °C error gives about 1.5 µm. The micrometer frame (steel, α ≈ 11.5 × 10⁻⁶/°C) expands in the same direction and partly cancels the effect. Temperature could account for 1–2 µm only if that operator measures parts straight off the machine before they cool - a plausible but testable hypothesis, and still not 4 µm.

More likely causes of the bias

  • Ratchet or thimble force: a hand-held micrometer with no constant-force device compresses the part. A 4 µm systematic offset is typical of over-tightening.
  • Measuring position: on a chamfer, at a different axial station, or with the anvils not square to the axis.
  • Reading and zeroing habit, including parallax on the digital display.
  • The instrument itself: check the calibration certificate and history before blaming the operator.

Corrective action

  1. Fix the measurement: bench stand with constant force, master ring gauge for daily zero check, temperature-controlled room at 20 ± 1 °C with a two-hour soak, written work instruction, operators retrained and re-qualified.
  2. Re-select GRR parts to span the full 20 µm band, 10 parts × 3 operators × 3 trials in randomised order, with the operators blind to part identity.
  3. Investigate and eliminate the operator offset as a separate bias study against a master.
  4. Then re-establish capability on at least 125 parts with an SPC chart, and report Cpk with a confidence interval and the MSA result attached to it.

Acceptance criteria for the re-run %GRR ≤ 10% is the target; 10–30% is acceptable only with documented justification and a control plan that compensates for the measurement uncertainty; ndc ≥ 5; and no statistically significant operator bias against the master.

3. Decide the disposition of the 8,000 shipped shafts and the 2,000 in the warehouse, and state what you would tell the customer and when.

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Principle: a measurement-system failure is not evidence of product nonconformity - but it is not evidence of conformity either. Both lots are 'capability unknown', not 'bad'.

Warehouse stock (2,000) Quarantine immediately. Re-measure with a system fit for purpose: the corrected micrometer set-up, or a comparator or CMM with a known uncertainty well below 1 µm. At this lot size, 100% measurement is affordable and ends the argument. Separately plot the mean against 12.000 mm - if the process sits 3–4 µm off centre, the true nonconformance rate may be material even at Cpk ≈ 1.9, and that is the number that decides the disposition.

Shipped product (8,000) Do not recall on an MSA result alone. A recall with no evidence of nonconformity creates a supply crisis and a traceable record for no benefit. Instead:

  1. Retrieve and re-measure the retained samples and the parts used for the PPAP study.
  2. Run a documented risk assessment against the drawing and the shaft's function. If OD is a critical-to-function characteristic, escalate to a formal health-hazard evaluation under the customer's field-action procedure; if it is not, agree a customer-witnessed verification of a statistically valid sample.
  3. Record the outcome either way.

Communication - before the audit, not at it Tell the customer's supplier quality engineer: what failed (the measurement system, not necessarily the product), what it means quantitatively, what is quarantined, when re-verification data will exist, and the CAPA number. Withdraw or mark the PPAP capability submission as pending re-validation.

Under ISO 13485 the invalid measurement system is a nonconformity in its own right and needs a CAPA record regardless of what happens to the parts; under the relevant medical-device quality requirements the instrument control failure must be investigated and its effect on product determined. Framing this as an MSA problem you found yourselves is a far stronger audit position than having the auditor find it.