🇦🇺Australia

Cost of Poor Quality from Trending Failures

2 verified sources

Definition

In high-value biologics manufacturing, undetected trends in OOS rates lead to expensive rework.

Key Findings

  • Financial Impact: AUD 100,000+ per failed batch; 1-3% of production costs
  • Frequency: Per review cycle; high in biologics scaling
  • Root Cause: Manual trending misses subtle data patterns

Why This Matters

The Pitch: Pharma players in Australia 🇦🇺 lose AUD 1-2M yearly on rework from poor trending. Automated analytics cuts quality failure costs by 30%.

Affected Stakeholders

QA/QC Teams, Process Engineers, CMO Managers

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

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