Scrap and rework from worn or poorly maintained dies
Definition
Using worn, damaged, or out‑of‑tolerance dies and tooling causes dimensional defects, poor cuts, and print/registration issues that drive scrap, rework, and customer complaints. Poor tooling condition tracking directly shows up as cost of poor quality.
Key Findings
- Financial Impact: $10,000–$50,000 per month in scrap and rework for mid‑size operations relying on manual tracking, based on CMMS vendors reporting that proactive die maintenance reduces defects and downtime significantly.
- Frequency: Daily
- Root Cause: No systematic tracking of die cycles, wear, or maintenance history; plants depend on operator judgment and paper logs, so dies are run past their optimal life, and preventive maintenance is missed or delayed.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Packaging and Containers Manufacturing.
Affected Stakeholders
Quality manager, Production manager, Maintenance manager, Tooling engineer, Customer service account manager
Deep Analysis (Premium)
Financial Impact
$10,000–$25,000/month in avoidable scrap waste; ESG target miss; brand reputation risk • $10,000–$30,000/month in avoidable scrap waste (20–40% of scrap is die-related); ESG credibility risk • $10,000–$30,000/month in avoidable scrap; ESG credibility loss; brand promise risk
Current Workarounds
Coordinator manually calculates scrap categories; reports to executive; no proactive die maintenance link • Coordinator receives monthly scrap weight; enters into spreadsheet; no root-cause tracking • Coordinator receives scrap data from contract packager; aggregates in Excel; assumes scrap is material issue, not die-related
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Duplicate die/tooling purchases from poor inventory visibility
Lost press time from searching for missing dies and tools
Excess tooling inventory and overstocked materials due to poor die/tool data
Unplanned downtime from reactive die and tooling maintenance
Under-quoting and unbilled die/tooling costs in packaging jobs
Delayed billing when die/tooling usage is not captured to jobs
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