Rebuilding CAPA Effectiveness at an Automotive Tier 1 Supplier

Executive summary

A Tier 1 stamping and assembly supplier was drowning in corrective actions: 63 open CAPAs, a customer scorecard trending red, and the same three defect families generating complaints every quarter. Root cause analysis routinely stopped at “operator error,” and closures were paperwork exercises. ZLG delivered Problem Solving & Root Cause Analysis training to 28 engineers and supervisors, then coached live 8D teams on the actual open cases for five months. Repeat complaints dropped 60%, on-time CAPA closure rose from 41% to 94%, and the customer scorecard returned to green.

Client profile

• Industry: Automotive stamping and welded assemblies, Tier 1
• Size: ~320 employees, two sites (English- and Spanish-speaking shifts)
• Certification: IATF 16949, certified 12 years
• Driver: Customer escalation over recurring complaints and overdue 8Ds

Initial challenge and baseline

Measure	Baseline
Open CAPAs	63 (oldest: 14 months)
On-time CAPA closure	41%
Root causes citing “operator error / retraining”	71%
Repeat complaints (same defect family, 12 months)	19
Customer scorecard	Red two consecutive quarters

The pattern was classic: containment done well, root cause analysis done fast, effectiveness verification not done at all.

Project goals

1. Cut repeat complaints at least in half within six months.
2. Bring on-time CAPA closure above 90%.
3. Build in-house 8D capability on both shifts, in English and Español.
4. Clear the aged CAPA backlog with real closures, not administrative ones.

ZLG approach

Training came first but was deliberately built from the client’s own defect data — the 5-Why and fishbone exercises used their actual complaints, not textbook examples. Delivery ran bilingual across both sites. Then came the part that makes training stick: five months of live 8D coaching, where ZLG facilitated weekly team sessions on the open CAPA backlog, pushing every analysis past “operator error” to the process condition that made the error possible, and setting effectiveness verification criteria at initiation rather than closure.

Implementation and obstacles

The first obstacle was backlog triage — 63 open CAPAs could not all get 8D teams. We consolidated them into 17 problem statements by defect family, which itself revealed that three fixture-related causes were generating most of the pain. The second obstacle was verification data: two defect families had no inspection data granular enough to prove improvement, so inspection checkpoints were redesigned before fixes were even attempted.

Deliverables

• Two-day Problem Solving & RCA workshop, 28 participants, both languages
• 17 coached 8D investigations with closed-loop effectiveness verification
• Redesigned CAPA workflow with verification criteria set at initiation
• Fixture maintenance standard work for the three highest-pain causes
• Handover coaching for two internal 8D facilitators

Results

Measure	Baseline	After 6 months
Repeat complaints (rolling 12 months)	19	7 (−60%)
On-time CAPA closure	41%	94%
Open CAPA backlog	63	9
Root causes citing “operator error”	71%	12%
Customer scorecard	Red	Green

Client testimonial

“The training was good. The coaching on our own 8Ds is what changed the plant — our teams stopped writing ‘retrain operator’ and started fixing fixtures.” — Plant Quality Manager, Tier 1 automotive supplier

Lessons learned

CAPA systems fail at the two ends nobody audits closely: problem definition and effectiveness verification. Once verification criteria were defined on day one of each 8D, weak root causes exposed themselves — the fix either moved the metric or it didn’t.