Calculate Cpk process capability index accounting for both spread and centering. The most-used capability metric in manufacturing quality.
Cpk is the most widely used process capability index in manufacturing. Unlike Cp, which only measures the ratio of tolerance to process spread, Cpk accounts for both the spread and how well the process is centered between the specification limits. It equals the minimum of the upper and lower capability indices, ensuring the worst-case side determines the overall rating.
A Cpk of 1.33 or higher is the standard requirement across many industries. When Cpk is lower than Cp, the process mean has drifted toward one specification limit. This distinction between Cp and Cpk tells you whether you need to reduce variation (low Cp) or adjust the process center (low Cpk relative to Cp).
This calculator computes Cpk from the upper and lower specification limits, process mean, and standard deviation. It also shows Cp, Cpu, and Cpl for complete capability analysis.
This analytical approach aligns with lean manufacturing principles by replacing waste-generating guesswork with efficient, fact-based processes that directly support value creation and cost reduction.
Cpk is the single most important number in capability analysis because it reflects both precision and accuracy. Customers, auditors, and quality standards universally require Cpk reporting for critical-to-quality characteristics. Having accurate figures readily available streamlines reporting, audit preparation, and strategic planning discussions with management and key stakeholders across the business.
Cpu = (USL − μ) / (3σ) Cpl = (μ − LSL) / (3σ) Cpk = min(Cpu, Cpl) Cp = (USL − LSL) / (6σ) where μ = process mean, σ = process standard deviation
Result: Cpk = 1.11
Cpu = (10.5 − 10.1) / (3 × 0.12) = 0.4 / 0.36 = 1.11. Cpl = (10.1 − 9.5) / (3 × 0.12) = 0.6 / 0.36 = 1.67. Cpk = min(1.11, 1.67) = 1.11. Cp = 1.39, so the process has enough spread but is off-center toward USL.
Cp tells you the process has enough precision. Cpk tells you it is also accurate. A process with Cp = 2.0 but Cpk = 0.5 is very precise but badly aimed — like a sharpshooter hitting a tight group far from the bullseye. Adjusting the mean is usually cheaper than reducing variation.
| Cpk | Interpretation | Approx. PPM | |-----|---------------|-------------| | 0.67 | Minimum for non-critical | 45,500 | | 1.00 | Process barely capable | 2,700 | | 1.33 | Standard industry minimum | 63 | | 1.67 | Automotive/critical | 0.6 | | 2.00 | Six Sigma target | 0.002 |
Don't calculate Cpk once and forget it. Establish periodic capability studies — monthly or quarterly — to confirm that process performance remains within requirements as materials, tooling, and conditions change over time.
Cpk ≥ 1.33 is the standard minimum in most industries. Automotive safety items often require ≥ 1.67. Six Sigma targets Cpk ≥ 2.0. A Cpk below 1.0 means the process is producing out-of-spec parts.
A negative Cpk means the process mean is outside the specification limits. The process is systematically producing out-of-spec product and needs immediate correction.
Cpk is always ≤ Cp. The gap indicates the process is off-center. Shift the process mean toward the midpoint of USL and LSL to bring Cpk closer to Cp without needing to reduce variation.
Cpk uses within-subgroup standard deviation (short-term capability). Ppk uses overall standard deviation (long-term performance). Ppk ≤ Cpk typically, because long-term variation includes between-subgroup shifts.
A Cpk of 1.0 corresponds to about 2,700 PPM (0.27%). Cpk of 1.33 ≈ 63 PPM. Cpk of 1.67 ≈ 0.6 PPM. Cpk of 2.0 ≈ 0.002 PPM. Higher Cpk means exponentially fewer defects.
Yes. Use Cpu for upper-only specs and Cpl for lower-only specs. Cpk = min(Cpu, Cpl) only applies when both limits exist.