The Process Capability Index (Cp) is a statistical measure used to determine whether a process can consistently produce results within defined specification limits. It is a central tool in quality management and Six Sigma, helping organisations assess whether process variation aligns with customer or industry requirements.
Cp was developed in the context of statistical process control as part of a family of capability indices. Unlike control limits, which show the natural behaviour of a process, specification limits are set externally by customers or standards. Cp compares the process spread to these specification limits, indicating whether the process is capable of producing outputs within the required boundaries.
Key Elements / Features
Formula:
\(
C_p = \dfrac{USL – LSL}{6 \cdot \sigma}
\)
Where:
Example:
Suppose a process has:
\(
C_p = \dfrac{10 – 2}{6 \times 1.2} = \dfrac{8}{7.2} \approx 1.11
\)
Interpretation: A Cp of 1.11 means the process is slightly capable, as its spread fits within the specification range. However, further improvement may be required to achieve higher reliability.
Cp is essential for organisations aiming to minimise defects, control costs, and improve customer satisfaction. It highlights variability and shows where improvements are needed. However, Cp does not account for whether the process is centred between the limits. For a complete analysis, Cp should be used alongside indices such as Cpk.