Improving first-pass yield
A first-pass yield improvement programme targets the proportion of units that pass through a process correctly the first time, without rework, scrap or rejection. It makes the hidden cost of rework visible, finds where defects are created, and drives them out at source so more product is made right the first time.
What it is
First-pass yield is the fraction of output that meets specification on the first attempt, before any rework. Tracking it — and especially the rolled yield across several steps — exposes the cumulative loss that step-by-step pass rates hide. An improvement programme uses this measure to find where defects originate and to attack their causes, rather than relying on inspection and rework to catch problems after the fact.
Why it is done
Rework and scrap are pure waste: material, labour and capacity consumed to fix or discard product that should have been right the first time. This cost is often hidden because reworked units still ship, so the loss never appears as a reject. Measuring first-pass yield surfaces the true cost of poor quality and focuses effort on prevention, which is far cheaper than detection and correction.
How it is done
Yield is measured at each process step and rolled across the chain to reveal where the largest losses occur and how they compound. The dominant defect types at the worst steps are analysed for root cause, and the causes are addressed at source — through process control, fixturing, mistake-proofing or training. The yield is then re-measured to confirm the defects have genuinely fallen rather than simply being reworked out of sight.
- Measure yield per step
- Roll up the chain
- Find worst steps
- Analyse defect causes
- Fix at source
- Re-measure yield
What to watch for
Measuring only final pass rate hides the rework that quietly inflates cost, so rolled yield must be tracked. Solving defects with more inspection rather than prevention adds cost without fixing the cause, and counting reworked units as good masks whether yield truly improved.
Related practices
Reducing changeover time with SMED
Optimising clean-in-place (CIP)
Running a process capability study
Related topics
SPC (Statistical Process Control) · Six Sigma · Poka-Yoke (Mistake-Proofing)
Common in: Pharmaceuticals · Food Processing · Paper & Packaging · Chemicals · Dairy