What Is MIM Process Capability Study? Short-Term vs Long-Term

A process capability study is the formal method for proving that a MIM production process can consistently produce parts within specification.

Short-term vs long-term capability:
Aspect Short-Term Capability Study Long-Term Capability Study
What it measures Process capability under controlled conditions — one setup, one material lot, one operator Process performance over extended production — multiple batches, setups, material lots
Sample size Minimum 30 consecutive parts from a stable run Minimum 100 parts from 5+ production batches
Reported index CpK PpK
When performed During PPAP / initial tooling qualification Ongoing — monitored monthly or quarterly
What it proves The process CAN hold tolerance The process DOES hold tolerance in real production
How a MIM capability study is performed:
  1. Run the process at normal production parameters (no special tweaking for the study)
  2. Collect 30-50 consecutive parts (for short-term) or pull from 5+ batches (for long-term)
  3. Measure the critical dimensions using a calibrated CMM or vision system
  4. Calculate CpK and PpK using standard formulas
  5. Compare to the acceptance criteria (CpK ≥ 1.33 for automotive)
Interpreting the results:
CpK Value Estimated Defect Rate Verdict
1.67 0.54 PPM Excellent — process is well-centered and stable
1.33 63 PPM Acceptable — meets most automotive requirements
1.00 2,700 PPM Marginal — needs improvement for production
0.67 45,500 PPM Unacceptable — process not capable of holding tolerance
Quick Q: What is a MIM process capability study?

A MIM capability study collects 30-50 consecutive parts from a production run, measures critical dimensions, and calculates CpK (short-term) to prove the process can hold tolerance. A long-term study collects 100+ parts from multiple batches and reports PpK. For automotive PPAP, CpK ≥ 1.33 is required for all critical and significant characteristics. The study is performed during initial tooling qualification and repeated periodically to monitor process stability.

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