In cable manufacturing, scrap rate and defect frequency are not just quality metrics — they are direct indicators of process maturity, equipment–process matching, and factory management discipline. Yet most cable plants lack a realistic benchmark. Targets are often set based on experience, supplier promises, or internal history rather than industry-wide reference points.
This benchmark report consolidates typical scrap and defect rate ranges observed across different cable types and key manufacturing processes, helping manufacturers evaluate whether their current performance is competitive, acceptable, or structurally inefficient.
This report focuses on typical operational ranges, not theoretical best cases.
1. How to Read This Benchmark Report
Before diving into numbers, three clarifications are critical:
Scrap rate includes startup scrap, changeover loss, in-process defects, and rejected finished lengths.
Defect rate refers to defects detected by online testing (spark test, diameter, concentricity) or offline inspection.
Values shown represent stable production after ramp-up, not commissioning periods.
Actual performance depends on equipment condition, operator skill, material consistency, and production discipline.
2. Typical Scrap Rates by Cable Type
Building Wire (PVC / PE Insulation)
Typical scrap rate: 1.5% – 3.0%
Main contributors:
Startup instability
Diameter fluctuation
Color change purge loss
Well-controlled lines with standardized setups can reach the lower end consistently.
Power Cables (LV / MV)
Typical scrap rate: 2.5% – 5.0%
Main contributors:
Concentricity deviation
Insulation eccentricity during acceleration
Jointing and take-up transitions
Scrap increases significantly with cable size variation and frequent order changes.
Control & Instrumentation Cables
Typical scrap rate: 3.0% – 6.0%
Main contributors:
Pair imbalance
Lay length variation
Shield overlap inconsistency
Process synchronization between twisting and extrusion is the dominant factor.
Data & Communication Cables
Typical scrap rate: 4.0% – 8.0%
Main contributors:
Spark test failures
Pair geometry deviation
Foaming instability
High-speed lines amplify small process errors into measurable scrap.
Flexible / Silicone / Special Cables
Typical scrap rate: 5.0% – 10.0%
Main contributors:
Material sensitivity
Temperature window instability
Adhesion and surface defects
Material behavior dominates over machine capability in this category.
3. Scrap Rate Benchmarks by Process Stage
Conductor Drawing
Typical scrap rate: 0.5% – 1.5%
Key loss sources:
Wire breakage
Surface scoring
Stranding / Twisting
Typical scrap rate: 1.0% – 3.5%
Key loss sources:
Lay instability
Bird-caging
Tension mismatch
Insulation Extrusion
Typical scrap rate: 2.0% – 6.0%
Key loss sources:
Diameter out-of-tolerance
Bubbles and pinholes
Startup thermal imbalance
Jacketing
Typical scrap rate: 1.5% – 4.0%
Key loss sources:
Ovality
Surface defects
Cooling deformation
4. Typical Defect Rate Ranges (Online Detection)
| Typical Occurrence Rate | |
Spark test failure | 0.2% – 1.0% |
Diameter out-of-spec | 0.5% – 2.0% |
Concentricity deviation | 0.5% – 2.5% |
Surface defects | 0.3% – 1.5% |
Factories exceeding these ranges consistently should investigate structural causes rather than isolated incidents.
5. What Separates Low-Scrap and High-Scrap Factories
Across cable plants, performance differences are rarely explained by machine brand alone.
Low-scrap factories typically show:
Narrow, documented process windows
Stable material suppliers
Operator-specific accountability
Preventive maintenance tied to defect trends
High-scrap factories often show:
Parameter drift between shifts
Reactive troubleshooting culture
Overreliance on speed to offset loss
6. Interpreting Your Own Numbers Correctly
A scrap rate above benchmark does not automatically indicate poor management. It may reflect:
High product mix complexity
Frequent order changeovers
R&D or customized production focus
The real risk lies in unknown or untracked scrap drivers.
7. Using Benchmarks to Drive Real Improvement
Benchmarks are not targets; they are reference points.
Effective use includes:
Segmenting scrap by product and process
Linking defect data to specific equipment zones
Prioritizing stability before speed
Incremental reduction of 0.5% scrap often delivers greater profit impact than large capital investment.
Final Perspective
In cable manufacturing, scrap is not an unavoidable cost — it is a signal. Factories that treat scrap data as operational feedback rather than accounting loss consistently outperform peers.
At DX Cable Technology, we support manufacturers in benchmarking real production performance, identifying structural loss drivers, and aligning equipment capability with process reality, enabling sustainable improvement rather than temporary fixes.

