Reduce GET cost per operating hour on grader & dozer fleets. Specialist optimisation through benchmarking, structured wear trials and validated performance improvements.
A different approach to GET supply.
Plasma Wear Parts is not a traditional GET supplier.
We operate as a specialist partner focused on one outcome — reducing cost per operating hour across grader and dozer fleets.
Instead of supplying standard configurations, we benchmark current performance, test alternative solutions, and validate results through structured wear trials.
The result is proven improvements in wear life and measurable reductions in total operating cost.
1. Benchmark Current Performance
We establish baseline wear life, changeout cycles, and cost per hour for your current GET setup.
2. Structured Wear Trials
Alternative configurations — including standard, modified, or hardfaced options are tested under real operating conditions.
3. Validate Against $/Hour Metrics
All results are measured against agreed cost per operating hour benchmarks to ensure clear decision-making.
4. Implement Proven Solutions
Only validated improvements are transitioned into operation, ensuring measurable savings with minimal disruption.
Validated in Real Mining Conditions
Wear performance improvements are validated through structured field trials conducted under real operating conditions — not controlled testing environments.
Each trial is designed to:
- establish a clear baseline of current GET performance
- compare alternative configurations under consistent conditions
- align with site maintenance schedules to minimise disruption
- deliver measurable improvements in cost per operating hour
All outcomes are assessed against agreed performance metrics, ensuring results are commercially meaningful and directly applicable to site operations.
START A TRIAL TODAY
Identify opportunities to reduce cost per operating hour
Most GET setups are never properly benchmarked, leaving significant cost savings unrealised.
Structured wear trials provide a clear, low-risk way to test alternative configurations and validate performance improvements under real operating conditions.