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Cp & Cpk Calculation With Example

Cp & Cpk Formulas:

\[ Cp = \frac{USL - LSL}{6\sigma} \] \[ Cpk = \min\left(\frac{USL - \mu}{3\sigma}, \frac{\mu - LSL}{3\sigma}\right) \]

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1. What Are Cp And Cpk?

Cp (Process Capability) and Cpk (Process Capability Index) are statistical measures used to evaluate how well a process meets specification limits. Cp measures potential capability while Cpk measures actual performance considering process centering.

2. How Does The Calculator Work?

The calculator uses the following formulas:

\[ Cp = \frac{USL - LSL}{6\sigma} \] \[ Cpk = \min\left(\frac{USL - \mu}{3\sigma}, \frac{\mu - LSL}{3\sigma}\right) \]

Where:

Explanation: Cp compares the process spread to the specification range, while Cpk considers both spread and centering of the process.

3. Importance Of Process Capability Indices

Details: These indices are crucial for quality control, process improvement, and ensuring manufacturing processes meet customer requirements. They help identify processes that need improvement and monitor ongoing performance.

4. Using The Calculator

Tips: Enter all values in consistent units. Standard deviation must be greater than zero. The calculator provides both Cp (potential capability) and Cpk (actual capability) values.

5. Frequently Asked Questions (FAQ)

Q1: What is the difference between Cp and Cpk?
A: Cp measures potential capability assuming the process is centered, while Cpk measures actual capability considering both spread and centering.

Q2: What are acceptable values for Cp and Cpk?
A: Generally, Cp/Cpk ≥ 1.33 indicates capable process. Values ≥ 1.67 are excellent. Values < 1.0 indicate process improvement is needed.

Q3: When should I use Cp vs Cpk?
A: Use Cp when the process is centered. Use Cpk when the process may not be centered or when you want to assess actual performance.

Q4: What if my Cpk is much lower than Cp?
A: This indicates the process is not centered within the specification limits and needs adjustment to improve centering.

Q5: Are there limitations to these indices?
A: They assume normal distribution and stable process. They may not be appropriate for non-normal distributions or unstable processes.

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