DynaMax¶
Block-Level ROM Management Software for Accurate Feed Forecasting.
DynaMax replaces ROM pad averages with block-level precision and short-term feed forecasts, to reduce surprises, improve feed consistency, and stabilize plant performance.
What it does¶
- Generates granular, high-resolution maps of ROM pad inventory.
- Provides data for accurate and confident feed and blend planning.
- Generates short-term reclamation scenarios with feed forecasts that the plant uses as a heads-up.
What's broken today¶
ROM pad variability is averaged out. ROM pads are managed using bulk averages, masking critical variability that impacts recovery and throughput.
The plant cannot see feed quality. Key feed properties rarely reach the plant in time to adjust control settings.
Lost production, higher reagent and energy costs. The result is production losses and higher reagent and energy consumption.
How DynaMax works¶
Inputs. DynaMax works with data you already have:
- Resource and grade control models: grade, lithology, hardness, proxies, geomet variables
- Ore movement records: time, origin, destination data
- ROM pad surveys: surfaces and volumes
- Reclamation activity logs
- Mill weightometer data
Outputs. What users receive:
- ROM pad inventory model
- What-if scenario-based forecasts
DynaMax supports both low-frequency (shift by shift) and high-frequency (near real-time) update workflows.
Deployment workflow¶
- Configure ROM pad areas and map variables across datasets.
- Upload data manually or connect to data sources.
- Generate block-level ROM pad inventories.
- Run what-if reclamation scenarios.
- Optionally send real-time grade to the plant.
Top KPIs impacted¶
| KPI | Outcome |
|---|---|
| ROM pad model granularity | 1x1 m to 20x20 m blocks |
| Average feed predictability error | 30 to 80 percent reduction |
| Recovery improvement | 0.5 to 2 percent from better feed planning and plant operation |
Case story¶
A 100 koz gold mine implemented DynaMax to replace ROM-pad averages with block-level precision and short-term forecasts. With more accurate feed forecasting and blending, the operation stabilized plant performance, optimized throughput, and delivered a measurable uplift in recovery.
- 1.6 percent recovery gain from improved feed forecasting and blending
- US$2M per year increase in annual value from optimized throughput and plant performance
Primary users¶
Production Geologists, Mine Planners, Geometallurgical departments.