Simulate.Optimize.Perform.
Advanced discrete-event simulation and digital-twin technology to model, analyse and optimize mining operations — calibrated on real fleet data and translated into financial outcomes.
Live digital-twin telemetry: a haul truck carrying 296 tonnes on a 28.4-minute cycle at 16/28 km/h; an excavator loading in 120 seconds over 5–6 passes at 86.2% utilisation; the DES fleet engine projecting 21.4 Mt/yr P50 output with a ±4.6% P10–P90 band over 30 replications; system availability 97.4% across 297 DWF days at 16.66 operating hours per day.
Calibration record — not marketing claims
207,496
fleet status events analysed
48,575
haul cycles reconstructed
3.7%
model deviation vs. actual production
17
AHS delay event types calibrated
Reference dataset: a 19-truck Hitachi EH5000AC-3 autonomous fleet in NSW, Australia. Every figure on this page traces to the engine's calibration record or is labelled illustrative — nothing is invented.
The problem
Fleet decisions are eight-figure bets made on averages
A haul fleet is one of the largest operating costs on a mine site — and the tools used to size it can't see the thing that wastes the money.
Averages hide the queue
A spreadsheet says 22 trucks haul more than 19. The queue at the loader says otherwise: past saturation, every extra truck burns full fuel and maintenance and adds zero tonnes. You just watched it happen in the simulator above.
Studies arrive after the decision
A consultant simulation study takes months and a six-figure budget. By the time the report lands, the mine plan has moved — and re-running a scenario means another engagement.
Tonnes don't get budgets approved
Most simulation tools stop at throughput. Boards approve NPV, payback and cost per tonne — and the translation from tonnes to dollars is exactly where fleet decisions go wrong.
Watch a decision get made
From mine plan to defensible answer in four moves
The hero's reference circuit — 8.8 km haul, 292-tonne trucks — swept across every fleet size. This is the curve your fleet lives on.
Operational Intelligence Suite
Tools built for operational reality
Life Cycle Cost Analysis
Model total cost of ownership across the full asset lifecycle. Depreciation curves, maintenance trajectories, residual value forecasting — all in one decision framework.
Explore SolutionFleet Productivity Intelligence
Quantify productivity gaps before they cost you. Payload efficiency, shift utilisation, cycle time benchmarking — built for operations managers who need numbers, not guesses.
Explore SolutionScenario Simulation Engine
Run up to 4 operational scenarios in parallel. Compare configurations, stress-test assumptions, and present board-ready analysis in minutes.
Explore SolutionIndustries Served
Engineered for heavy operations
Open-Cut & Underground Mining
Haulage fleet optimisation, blast-to-mill integration, AHS readiness assessment.
Construction & Earthworks
Earthmoving productivity, machine allocation, project lifecycle cost modelling.
Quarrying & Aggregates
Production efficiency benchmarking, equipment utilisation tracking, cost per tonne analysis.
Port & Bulk Handling
Throughput modelling, equipment life cycle planning, operational bottleneck identification.
Get Started
Ready to optimise your operations?
Speak with our team about how ApexHaul° can be scoped to your specific operational context.
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