Fleet management systems record cycle times and payload distributions but dispatch decisions are made in real time by controllers using radio communication and visual observation of loader queues. Queue time at shovels and dump facilities can consume 15 to 25% of total cycle time, but because fleet management data is reviewed in shift-end reports rather than acted on during the shift, the same bottlenecks recur. Payload underloading - driven by operator risk aversion and payload incentive structure misalignment - routinely costs 5 to 8% of effective fleet capacity without appearing as a visible line item in any operational report.
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Fleet Manager optimizing dispatch efficiency and payload performance across a 65-truck ultra-class fleet at a large open pit copper operation
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Mine Planner / Operations
Analyzes haulage network productivity, dispatch bottlenecks, and fleet allocation efficiency across shifts and loader assignments.
Reliability / Maintenance Engineer
Correlates truck availability, unscheduled delay events, and road condition impacts with fleet productivity metrics.
Safety Officer
Monitors speed compliance, proximity events, and fatigue indicators across the haul fleet.
Lumina analyzes cycle time components, queue distributions, payload histograms, and fuel burn per tonne-kilometre across the haulage network to identify dispatch logic inefficiencies, loader matching imbalances, and shift-pattern effects that are eroding fleet productivity.
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Shovel EX-02 is carrying an average truck queue of 4.3 minutes per cycle, about 22% of cycle time and double EX-04, because five trucks are over-allocated to it during day shift. Separately, eight trucks are running 6 to 9% below rated payload, costing roughly 1,400 t/day of effective capacity that never shows in shift reports. Recommend rebalancing two trucks from EX-02 to EX-04 and recalibrating the payload targets on the eight light-loading units; combined upside is about 2,100 t/day at no added fuel.