Cpk Calculator
Process capability calculator with raw measurement input, mean and standard deviation mode, target Cpk planning, Cp and Cpk interpretation, and a histogram with distribution plot.
1. Paste Measurement Data
Use this mode if you have actual sample measurements, such as 30, 50, or 100 values from inspection results.
Paste values separated by commas, spaces, or new lines.
2. Basic Statistics
Paste measurement data to see results.
3. Specification Limits
Enter your upper and lower specification limits.
4. Cp / Cpk Results
Enter data first.
5. Distribution Plot
Paste data to see the histogram and curve.
Cp, Cpk, CPU, and CPL Explained
Learn what each process capability metric means, how to interpret Cpk values like 1.00 or 1.33, and why Cp can differ from Cpk.
Difference between Cp and Cpk
Cp only looks at spread. Cpk looks at spread and centering. That is why Cp can be good while Cpk is poor if the process average is drifting toward USL or LSL.
Common Cpk interpretation
- Cpk below 1.00: process is usually not capable.
- Cpk around 1.00 to 1.33: process is marginal.
- Cpk 1.33 and above: commonly accepted in many manufacturing applications.
- Cpk 1.67 and above: stronger capability with more margin.
Why sample size matters
Cp and Cpk estimates become more useful when they are based on enough data. Small samples can give unstable results. As a practical starting point, many users begin with at least 30 measurements.
Cp & Cpk Calculator (Process Capability)
Use this free Cp and Cpk calculator to evaluate process capability from raw measurements or from mean and standard deviation. Get Cp, Cpk, CPU, CPL, and interpretation instantly.
What is Cp?
Cp measures potential capability assuming the process is centered: Cp = (USL − LSL) / (6σ).
What is Cpk?
Cpk measures actual capability considering centering: Cpk = min((USL − μ)/(3σ), (μ − LSL)/(3σ)).
Interpretation
- Cpk < 1.00 → Not capable
- Cpk ≈ 1.33 → Industry minimum
- Cpk ≥ 1.67 → Good
- Cpk ≥ 2.00 → Excellent