Mangel an Transparenz – Ineffiziente Entscheidungsfindung bei Defekt-Klassifizierung
Definition
Deficiency resolution decisions rely on manual classification by trial engineers and classification society surveyors. Without centralized data on historical defect frequencies, resolution timelines, and resource requirements, managers cannot optimize trial scheduling, staffing, or procurement. Repeated misclassification leads to under/over-resourcing and schedule slippage.
Key Findings
- Financial Impact: 15–25% trial cycle time extension due to poor resource planning = €300K–€1M per vessel; €500K–€2M annually across production fleet from management inefficiency
- Frequency: Per trial phase; cumulative across fleet
- Root Cause: Siloed trial data (yard systems, classification societies, regulatory databases not integrated); lack of analytics platform; manual defect logging and trend analysis; no predictive modeling for trial duration
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Shipbuilding.
Affected Stakeholders
Project Managers, Trial Engineers, Operations Planning, Resource Allocation
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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.
Related Business Risks
Bürokratische Verfahrenskosten bei Schiffsabnahme und Prüfprozessen
Defizite bei Seeversuchen – Rework und Nachprüfungskosten
Kapazitätsverlust durch manuelle Seeversuche-Planung und Verzögerungen
Lieferketten-Compliance Overhead (LkSG) und Nachweispflicht bei Seeversuchen
Beschaffungsverfahren-Overhead bei Regierungsaufträgen (Rüstungsbeschaffung)
GoBD-Konformitätsrisiken bei unstrukturierter GFE-Nachverfolgung
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