🇧🇷Brazil

Decisões Subótimas de Compra de Sucata por Falta de Visibilidade de Qualidade

Updated: Feb 20262 verified sources

Definition

Search results show that 100+ external scrap suppliers provide inconsistent quality and cost. Brazilian EAF mills, facing high pig iron import costs, are now shifting to scrap optimization—but without supplier quality transparency, they risk purchasing low-grade material that requires expensive corrective blending. One case mentioned EAF mills using higher residual grades of scrap, forcing them to purchase pig iron, DRI, or HBI as dilutants.

Key Findings

Financial Impact: LOGIC-based estimate: Assume average EAF facility processes 100 tons/day of scrap input. If poor quality forces 10–15% additional dilutant cost (pig iron/DRI at premium): 10–15 tons/day × (R$ 500–R$ 1,000 premium over scrap cost) = R$ 5,000–R$ 15,000/day = R$ 1,500,000–R$ 4,500,000/year per facility. Conservative estimate: 5% overpay on scrap sourcing = R$ 800,000–R$ 1,200,000/year per 100-ton facility.
Frequency: Per procurement cycle (weekly or daily spot purchases depending on supplier contracts).
Root Cause: Lack of incoming scrap quality grading standard; no supplier scorecards or certification; purchasing decisions driven by price, not composition; absence of predictive analytics linking scrap composition to melt outcome; high switching costs prevent supplier consolidation.

Why This Matters

The Pitch: Brazilian EAF mills overpay 5–15% on scrap input costs due to poor quality sourcing decisions. Supplier quality scorecarding and real-time metallurgical composition data enable procurement decisions that reduce blending waste and pig iron dependency.

Affected Stakeholders

Procurement managers (supplier selection, contract negotiation), Scrap yard managers (quality assessment at intake), Production planning (charge mix recipe decisions), Metallurgists (blending decisions post-melt), Finance (cost analysis, variance reporting)

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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.

Evidence Sources:

Related Business Risks

Falhas de Qualidade por Mistura Inadequada de Cargas em Fornos de Arco Elétrico

PROVEN: 4.4% scrap rate reduction achievable via analytics optimization. For a 100-ton/day EAF facility: 4.4 tons/day = ~1,600 tons/year × R$ 2,500–R$ 3,500/ton scrap loss = R$ 4,000,000–R$ 5,600,000 annual impact. Conservative rework rate in quality-driven facilities: 2–5% of output.

Ociosidade e Atrasos por Classificação Manual de Sucata

LOGIC-based estimate: Manual scrap classification = 40–60 hours/month per facility. At Brazilian industrial labor cost (R$ 80–120/hour all-in): R$ 3,200–R$ 7,200/month = R$ 38,400–R$ 86,400/year per facility. Capacity loss from melt queue delays: conservatively 2–4 unscheduled production delays/month × 4 hours = 8–16 hours/month × R$ 5,000–R$ 8,000 lost production value = R$ 40,000–R$ 128,000/year per facility. **Total per facility: R$ 78,400–R$ 214,400/year.**

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