Fehlentscheidungen durch fehlende Transparenz über Ausschussquoten und Materialkreisläufe
Definition
Australian plastics ERP vendors highlight that keeping track of wastage and scrap is necessary to "provide better profitability" and that fully integrated MRP and inventory systems improve work order management and component tracking.[3] Recycling‑technology providers stress that residual products are valuable raw material and that advanced systems preserve the full value of the material while minimising labour and energy use.[4] LOGIC: When scrap and regrind flows are not accurately captured, standard costs understate true material usage, and management misjudges which parts, tools, or customers are profitable. This leads to accepting low‑margin or loss‑making work, under‑charging for high‑scrap jobs, and over‑investing in virgin material stock. For a plant with AUD 3–8 million per year in material and related overhead, a 3–6% misallocation due to poor scrap visibility corresponds to AUD 90,000–480,000 annually in avoidable cost or lost margin.
Key Findings
- Financial Impact: Quantified: 3–6% of annual material and related overhead spend; typically AUD 90,000–480,000 per mid‑size plant per year in mispriced work, excess inventory, and sub‑optimal purchasing decisions driven by inaccurate scrap and regrind data.[3][4]
- Frequency: Systemic and continuous, affecting every budgeting cycle, quote, and purchasing decision while scrap tracking remains fragmented.
- Root Cause: Fragmented data across machines, spreadsheets, and accounting; no closed‑loop link between actual scrap, regrind recovery, and BOM standards; lack of analytics to identify high‑scrap tools, materials, or customers; and absence of integration between recycling equipment and ERP/MRP.[3][4]
Why This Matters
The Pitch: Plastics manufacturing players in Australia 🇦🇺 misallocate 3–6% of their materials and capacity budget annually because scrap, regrind recovery, and yield are not visible in real time. Automation of scrap data capture, inventory integration, and profitability analytics converts this loss into margin.
Affected Stakeholders
CFO, Financial Controller, Commercial Manager, Sales Manager, Production Planner, Procurement Manager
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.
Related Business Risks
Unzureichende Kontrolle von Ausschuss und Rezyklatanteil treibt Rohstoffkosten
Cost of Poor Quality
Waste from Trial-and-Error
Capacity Loss from Rework
PPAP-Bottlenecks und Freigabe-Verzögerungen
Überhöhte PPAP-Bearbeitungskosten und Doppelarbeit
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