Wartezeiten durch manuelle Prüfung und Klassifizierungsprozess (Durchsatzreduzierung)
Definition
Incoming scrap arrives in trucks/containers (mixed grades, unknown composition). Manual grading workflow: (1) truck offload and visual triage (30–60 min); (2) sample inspection for contaminants (1–2 hours); (3) grade assignment and batch documentation (30–60 min). Total per batch: 2–4 hours non-value labor. For a 50-tonne/day processor handling 5–10 batches daily, this is 10–40 hours/week of grading-only labor, plus equipment idle time waiting for sorted material. Shredding/pressing equipment cost €500k–€2M, running cost €100–€300/hour; 25% idle time = €20k–€60k annual opportunity cost. Manual errors (misgrading) also cause rework, further reducing throughput.
Key Findings
- Financial Impact: €30,000–€80,000/year in combined labor bottleneck cost and equipment idle loss. Calculation: (1) Manual grading labor: 10–15 hours/week × €45/hour × 48 weeks = €21,600–€32,400. (2) Equipment idle cost: €50k facility shredder running 25% idle × €200/hour operational cost = €30,000/year lost margin. (3) Foregone sales: 5–10% throughput increase (100–200 tonnes/month) at €300/tonne margin = €36,000–€72,000 lost annual revenue.
- Frequency: Daily (every batch cycle); cumulative impact visible in monthly equipment utilization metrics and customer order fulfillment rate.
- Root Cause: Sequential process design (grade → shred → package) with no parallel batch processing; lack of automated composition verification at intake; understaffing in grading function due to cost pressure; no predictive batch routing system.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Wholesale Metals and Minerals.
Affected Stakeholders
Schrottsortierer (Grading staff — bottleneck function), Maschinenbediener (Equipment operators waiting for graded batches), Lagerverwaltung (Staging/batch queue management), Vertrieb/Kundendienst (Sales blocked by delivery delays)
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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
Klassifizierungsfehler bei Schrottgradierung und Umsatzsteuerrisiko
Unbilled und fehlerhaft fakturierte Schrottmengen bei Gewichtsabweichungen
Manuelle Nachbearbeitung und Rework durch Spezifikationsverstöße (Kontaminationen)
Lieferkettensorgfaltgesetz (LkSG) Dokumentation und Betriebsprüfungsrisiko
Betrug in Commodity-Backed Finanzierungen
Fehlentscheidungen bei Futures aufgrund mangelnder Sichtbarkeit
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