Mangelnde Rückverfolgbarkeit führt zu Massenrückrufen und Gewährleistungskosten
Definition
Incomplete serial number and lot traceability in motor vehicle parts manufacturing delays the identification of defective batches. When a quality issue is discovered, manufacturers cannot quickly determine which specific lots or serial numbers are affected, forcing them to recall entire batches or production runs. This results in: (1) Unnecessary rework and scrap of conforming parts; (2) Logistics costs for reverse shipment; (3) Customer compensation and warranty claims; (4) Reputational damage; (5) Regulatory fines for failed recalls.
Key Findings
- Financial Impact: €2,000–8,000 per recall event (mid-sized supplier); typical German supplier experiences 2–4 recalls/year due to traceability gaps = €4,000–32,000/year. Mass recall of 100,000 units @ €50/unit rework = €5M loss. Soft cost: 15–25 days investigation time @ €500/day = €7,500–12,500 per incident.
- Frequency: 2–4 recalls per year per supplier; 1 major regulatory-driven recall per 3–5 years
- Root Cause: Manual lot/serial number tracking; lack of automated checkpoints; delayed data integration between production stages; inability to link batch metadata (tool changes, maintenance, material lot) to product outcomes
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Motor Vehicle Parts Manufacturing.
Affected Stakeholders
Quality Assurance Manager, Supply Chain Director, Production Supervisor, Warranty Claims Handler, Compliance Officer
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Evidence Sources:
Related Business Risks
GoBD-Verstöße und fehlende digitale Nachweispflicht bei Rückverfolgung
Manuelle Rückverfolgung führt zu Produktionsverzögerungen und Kapazitätsengpässen
Fehlende Datenintegration führt zu suboptimalen Einkaufs- und Planungsentscheidungen
LkSG-Nichtkonformität durch unvollständige Lieferkettenrückverfolgung
Produktionsausfälle durch JIT-Lieferengpässe
Kapazitätsverluste durch Engpässe in Kanban-Systemen
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