Mining & Metallurgy • MN-09
Ore Quality Management
Deliver the grade the plant was designed for, consistently.
Scope
What the engagement covers.
Grade variability costs recovery and throughput. Ore quality management links block model, measurement and blending decisions so plant feed stays inside specification.
Included capabilities
- Grade tracking from block model through haulage to stockpile and feed
- Blending optimization against plant specification and recovery curves
- On-belt and on-line analysis integration where available
- Reconciliation between model, mined, stockpiled and processed grade
- Deviation alerting when feed drifts outside specification
Outputs and deliverables
- Grade tracking data model across the value chain
- Blending optimization configuration
- Model-to-mill reconciliation reporting
- Feed deviation alerting and response procedure
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01LinkConnect block model, dispatch destination and stockpile records.
02MeasureSampling, laboratory and on-line analysis integration.
03BlendOptimization of feed composition against plant specification.
04ReconcileModel-to-mill reconciliation with variance attribution.
05AdjustFeedback into short-term planning and dispatch destinations.
Use cases
Where this is typically applied.
Operations with persistent model-to-mill reconciliation gaps
Sites blending from multiple pits or stockpiles
Delivery model
The operating pattern for Mining & Metallurgy.
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Survey
Fleet, fuel flow, network coverage, loss points and current dispatch practice.
Instrument
On-board units, sensors, tags, LiDAR and camera installation.
Calibrate
Baseline consumption, cycle times, volumes and alert thresholds.
Operate
Dispatch centre, driver feedback loops, investigation and reporting routines.
Optimize
Continuous tuning against production, cost and safety targets.
Integration
- Fleet management, weighbridge and laboratory systems for reconciliation.
- ERP and fuel procurement for cost and inventory alignment.
- Mine planning and survey data for haul route and grade context.
- Access control and HR systems for shift, competency and permit checks.
Engagement approach
Fuel, cycle time and safety losses are quantified before deployment, and the same measures are the acceptance criteria after go-live, so value is settled on evidence rather than opinion.
Related
Other capabilities in Mining & Metallurgy.
MN-01
Integrated Fuel Balance
Close the gap between fuel bought, fuel issued and fuel actually burned.
MN-02Mining Dispatch
Match trucks to shovels continuously instead of by shift plan.
MN-03Cargo Volume Recognition
Measure what is actually in the tray, load by load.
MN-04LiDAR & Computer Vision
Give the site a geometric and visual sense of itself.
MN-05Personnel Positioning
Know who is underground, in the pit and in the danger zone, right now.
MN-06Workforce Safety
Manage fatigue, competency and behaviour as measurable risks.
MN-07Tire Analytics
Extend the life of one of the largest consumables on site.
MN-08Digital Driver Advisor
Coach the operator in the cab, in the moment.
MN-10Theft Prevention
Remove the opportunity, then prove what happened when it is taken anyway.
MN-11BI & Dispatching Center
One control room where production, cost and safety are seen together.