Understanding the difference between process capability and process performance is one of the most important concepts in Statistical Process Control (SPC).
Many quality engineers calculate Cp, Cpk, Pp, and Ppk—but struggle to explain what they really mean and when to use which one.
This guide explains the concept step by step, in simple language, with practical relevance.
What Is Process Capability? #
Definition #
Process Capability measures the inherent ability of a stable process to meet customer specifications.
In simple words: How capable is the process when it is running normally, without disturbances?
It considers only common causes of variation.
Key Points of Process Capability #
- It represents the 6σ (Six Sigma) spread of inherent process variation
- The process must be statistically stable
- No special causes should be present
- Data must be collected subgroup-wise
- Standard deviation (σ) is calculated using the within-subgroup variation method
Process Capability Indices #
| Index | Meaning |
|---|---|
| Cp | Potential capability (process spread vs tolerance) |
| Cpk | Actual capability considering process centering |
Standard Deviation Method:
When to Use Process Capability? #
Use Cp / Cpk when:
- The process is ongoing
- The process is in statistical control
- Control charts show only common causes
- You want to evaluate true process potential
What Is Process Performance? #
Definition #
Process Performance measures how the process actually performed over a period of time, including all sources of variation.
In simple words: How did the process perform in reality, including disturbances?
It includes both common causes and special causes.
Key Points of Process Performance #
- It represents the 6σ spread of total process variation
- Process may be stable or unstable
- Special causes may be present
- Data can be continuous or subgroup-wise
- Standard deviation is calculated using the overall (RMS) method
Process Performance Indices #
| Index | Meaning |
|---|---|
| Pp | Overall process spread vs tolerance |
| Ppk | Overall performance considering centering |
Standard Deviation Method:σ=RMS (overall standard deviation)
When to Use Process Performance? #
Use Pp / Ppk when:
- The process is new
- The process is in trial or development stage
- The process is not yet under statistical control
- You want to assess initial or historical performance
Process Capability vs Process Performance (Quick Comparison) #
| Aspect | Process Capability | Process Performance |
|---|---|---|
| Variation considered | Only common causes | Common + special causes |
| Process stability | Required | Not required |
| Data collection | Subgroup-wise | Continuous or subgroup |
| Std. deviation method | Within subgroup (R̅/d₂) | Overall (RMS) |
| Indices | Cp, Cpk | Pp, Ppk |
| Used when | Process is stable | Process is new or unstable |
Relationship Between Cp/Cpk and Pp/Ppk #
- In a statistically controlled process, Cp ≈ Pp and Cpk ≈ Ppk
- If Cp and Pp values differ significantly, it indicates:
- Presence of special causes
- Process instability
- Poor control or inconsistent operating conditions
Bigger gap = more instability
Key Takeaway for Quality Engineers #
- Pp / Ppk tell you how the process behaved
- Cp / Cpk tell you what the process is truly capable of
- Never rely only on capability without confirming control
- Control charts first → Capability study next
Final Thought #
Process performance is like a report card, while process capability is like true potential.
A good quality engineer always understands both—and knows when to use each one.
