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How To Calculate Cpk In Minitab

Cpk Formula:

\[ Cpk = \min\left( \frac{USL - \mu}{3\sigma}, \frac{\mu - LSL}{3\sigma} \right) \]

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units vary
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units vary

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1. What Is The Cpk Calculation?

The Cpk (Process Capability Index) measures how well a process meets specification limits, considering both the process mean and variation. It indicates the process capability to produce within specified tolerance limits.

2. How Does The Calculator Work?

The calculator uses the Cpk formula:

\[ Cpk = \min\left( \frac{USL - \mu}{3\sigma}, \frac{\mu - LSL}{3\sigma} \right) \]

Where:

Explanation: The formula calculates the capability index by comparing the distance from the process mean to both specification limits, divided by three standard deviations.

3. Importance Of Cpk Calculation

Details: Cpk is crucial for quality control and process improvement, helping manufacturers ensure their processes are capable of meeting customer requirements and specifications.

4. Using The Calculator

Tips: Enter all values in consistent units. The standard deviation must be greater than zero. Cpk values greater than 1.33 generally indicate a capable process.

5. Frequently Asked Questions (FAQ)

Q1: What is a good Cpk value?
A: Generally, Cpk ≥ 1.33 indicates a capable process. Cpk ≥ 1.67 is considered excellent, while Cpk < 1.0 may indicate process improvement is needed.

Q2: How is Cpk different from Cp?
A: Cp measures process potential capability without considering centering, while Cpk accounts for both process variation and how centered the process is within specifications.

Q3: Can Cpk be negative?
A: Yes, Cpk can be negative when the process mean is outside the specification limits, indicating the process is not capable.

Q4: What are the limitations of Cpk?
A: Cpk assumes normal distribution and requires stable process data. It may not be accurate for non-normal distributions or processes with special causes of variation.

Q5: How often should Cpk be calculated?
A: Cpk should be monitored regularly as part of ongoing process control, typically calculated from recent production data to ensure continuous process capability.

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