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Process Capability Index (Cpk, Accounting for Centering)

Measures process capability while also accounting for how well the process is centered within its specification limits, unlike the simpler Cp.

IndustrialQuality ControlProcess Capability

Process Capability Index CalculatorCpk – Accounting for Centering

Cpk = min[ (USLμ) / 3σ, (μLSL) / 3σ ]
Cpk = Process Capability Index  ·  USL = Upper Spec Limit  ·  LSL = Lower Spec Limit  ·  μ = Process Mean  ·  σ = Process Std Dev
⟹ SolveCpk, USL, LSL, μ, σ
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Cpk
USL: LSL: μ: σ: Cpk:
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Cpk Gauge
Poor (< 1.0) Moderate (1.0–1.33) Good (> 1.33)
Cpk = min[(USL−μ)/(3σ), (μ−LSL)/(3σ)]  ·  Cpk ≥ 1.33 is generally considered capable.

Variables

SymbolQuantityUnit
CpkProcess capability index (centered)
USLUpper specification limit
LSLLower specification limit
μProcess mean
σProcess standard deviation

What it means

The Cpk index is a process capability measure that accounts for both the spread of the process (via σ) and the centering of the mean (μ) relative to the specification limits (USL and LSL). It is defined as the minimum of the upper and lower capability indices: Cpk = min[(USL−μ)/(3σ), (μ−LSL)/(3σ)]. A Cpk of 1.0 means that the process spread is exactly 3σ from the mean to the nearest limit, implying that 0.27% of output is outside the limits (assuming normality). Higher Cpk values indicate better capability; typically, a Cpk ≥ 1.33 is desired for new processes. Unlike C_p, Cpk penalises off‑center processes. This metric is widely used in Six Sigma and quality engineering to evaluate whether a process can meet specifications, to compare suppliers, and to prioritise improvement efforts. It helps in setting quality targets and in acceptance decisions. Understanding Cpk is essential for quality professionals to ensure that products meet customer requirements consistently.

Worked example

Process Capability (Cpk) – Two Examples

Real‑World
Scenario: A pharmaceutical company fills capsules with an active ingredient. The specification is 20 mg ± 10 mg. The filling process has a mean of 11 mg and a standard deviation of 1.5 mg. The quality assurance team needs to calculate Cpk to ensure the process is capable and compliant with regulatory requirements before releasing the batch.
ParameterValue
USL20
LSL0
μ11
σ1.5
1CPU = (20-11)/(3×1.5) = 9/4.5 = 2.0
2CPL = (11-0)/(3×1.5) = 11/4.5 = 2.44
3Cpk = min(2.0, 2.44) = 2.0
Result Cpk = 2.0 ✓ Excellent
Scenario: A manufacturer produces components with specification 12 mm ± 2 mm. The process is running with a mean of 8 mm (off‑centre) and a standard deviation of 0.8 mm. The plant manager needs to calculate Cpk to quantify the capability of this off‑centre process and decide whether to adjust the process mean or accept the current yield.
ParameterValue
USL14
LSL10
μ8
σ0.8
1CPU = (14-8)/(3×0.8) = 6/2.4 = 2.5
2CPL = (8-10)/(3×0.8) = -2/2.4 = -0.833 (below LSL!)
Result Cpk = -0.83 ⚠️ Incapable
Industrial insight: Cpk accounts for process centering. Cpk < 1 means the process is incapable of meeting specifications. Cpk > 1.33 is generally considered acceptable for critical applications.

Common mistakes

  • USL and LSL: Upper and lower specification limits.
  • μ: Process mean – use the estimated mean (e.g., from sample).
  • σ: Process standard deviation (estimated from control charts).
  • Interpretation: Cpk accounts for process centering – it is the smaller of the two capability indices to the nearest spec limit.
  • Threshold: Cpk ≥ 1.33 is generally acceptable; Cpk < 1 indicates the process is not capable.
  • Assumptions: Process is stable and normally distributed.

Applications

Process capability index Cpk = min[(USL − μ)/(3σ), (μ − LSL)/(3σ)] accounts for process centering, unlike Cp. It provides a more realistic measure of process capability, indicating how well the process output falls within specification limits. A Cpk of 1.33 or higher is typically considered acceptable, meaning the process is capable. Quality engineers use Cpk for process certification, for supplier evaluation, and for assessing the impact of process improvements. It is widely used in automotive (AIAG), medical devices, and other regulated industries where product quality is critical. By calculating Cpk, organisations can identify processes that need adjustment, reduce scrap, and ensure customer satisfaction. Cpk is often reported in PPAP (Production Part Approval Process) submissions.

  • Process performance evaluation for product specifications
  • Supplier quality validation (PPAP, APQP)
  • Equipment acceptance and process qualification
  • Reduction of scrap and rework through centering
  • Compliance with industry quality standards (ISO, IATF)