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[5 Case studies] CQI

5 automotive case studies with problem types, methodologies applied, and key results, using 5 Whys, 8D, FMEA, Six Sigma (DMAIC), and Kaizen/PDCA:


Automotive CQI Case Studies Matrix

(Problems sourced from real-world scenarios in OEMs/Tier 1 suppliers)

Case Study

Problem Description

Methodology Used

Key Steps Applied

Key Results

1. Paint Defects in Body Shop

Frequent fisheyes (bubbles) on car doors.

5 Whys

1. Why? → Contaminated paint.


2. Why? → Dirty air filters.


3. Why? → No PM schedule.


4. Why? → Missing SOP.


5. Why? → Inadequate training.

Result: Implemented filter checks + training. Defects reduced by 90%.

2. Engine Mount Failures

Customer returns due to cracked mounts.

8D Problem-Solving

1. D1: Formed cross-functional team.


2. D4: Root cause → Poor rubber curing.


3. D6: Corrective action → Revised curing time/temp.


4. D7: Updated PFMEA.

Result: Warranty claims dropped by 75%.

3. ABS Sensor False Alerts

High field failures in ABS sensors.

FMEA (PFMEA)

1. Identified failure mode: Moisture ingress.


2. RPN=432 (Severity=9, Occurrence=6, Detection=8).


3. Added sealant + ingress testing.

Result: RPN reduced to 56, field failures down 60%.

4. Transmission Leaks

12% leak rate in final inspection.

Six Sigma (DMAIC)

1. Measure: Leaks at gasket joint.


2. Analyze: Torque variation (MSA proved gauge imprecise).


3. Improve: Automated torque wrench + training.


4. Control: SPC charts for torque.

Result: Leaks reduced to 0.8%, saving $500K/year.

5. Assembly Line Bottleneck

20% idle time at wheel station.

Kaizen/PDCA

1. Plan: Time-motion study.


2. Do: Relocated tools + kanban racks.


3. Check: Cycle time ↓ 30%.


4. Act: Standardized across shifts.

Result: Productivity ↑ 25%, eliminated overtime costs.

Methodology Comparison & Outcomes

Tool

Strengths

Limitations

Best for Automotive Use Cases

5 Whys

Fast, simple, no data needed.

Superficial if stopping too early.

Quick shopfloor fixes (e.g., contamination, misalignments).

8D

Structured, customer-focused.

Time-intensive for small issues.

Warranty claims, supplier defects (IATF 16949 must).

FMEA

Proactive risk prevention.

Subjective scoring (SOD).

Design/process risks (e.g., sensor failures, weld cracks).

Six Sigma (DMAIC)

Data-driven, high ROI.

Requires statistical expertise.

Chronic defects (leaks, noise/vibration).

Kaizen/PDCA

Engages frontline teams.

Small-scale impact.

Lean waste reduction (motion, waiting, inventory).

Regulatory & Standards Alignment

  • IATF 16949: Mandates 8D for customer complaints, FMEA for risk management.

  • Six Sigma: Often used for PPAP (Production Part Approval Process) critical characteristics.

  • Kaizen: Supports Lean Manufacturing (part of Toyota Production System).


Visual Workflow

Problem → Tool Selection → Results

  1. Simple root cause? → 5 Whys.

  2. Customer complaint? → 8D.

  3. High-risk failure? → FMEA.

  4. Complex data-driven issue? → DMAIC.

  5. Process waste? → Kaizen.

 
 
 

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