Cp and Cpk Formulas:
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Cp and Cpk are statistical measures used in process capability analysis to determine how well a process meets specification limits. Cp measures potential capability while Cpk measures actual performance considering process centering.
The calculator uses the following formulas:
Where:
Explanation: Cp compares the process spread to the specification range, while Cpk considers both spread and centering of the process.
Details: Process capability indices help manufacturers determine if their processes can consistently produce products within specification limits, identify areas for improvement, and monitor process performance over time.
Tips: Enter all specification limits, standard deviation, and process mean values. Standard deviation must be greater than zero. All values should use consistent units of measurement.
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 of the process.
Q2: What are acceptable values for Cp and Cpk?
A: Generally, values ≥1.33 indicate capable processes. Values ≥1.67 are considered excellent. Values <1.0 indicate processes that may not meet specifications.
Q3: When should I use Cp vs Cpk?
A: Use Cp when the process is centered between specifications. 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 my Cp?
A: This indicates your process is not centered between the specification limits and needs adjustment to improve performance.
Q5: Are there limitations to these indices?
A: Yes, they assume normal distribution of data and stable processes. They may not be appropriate for non-normal distributions or unstable processes.