If you look at an open-pit mine as a business, you quickly see how much has to work together at the same time. Excavators, trucks, haul roads, dispatchers, maintenance teams, fuel logistics, shift changes and weather all sit inside one production system. The plan may look clear at the start of the shift, but the operation itself is constantly moving.
And if something goes wrong, it is usually much easier to recognise large failures. For example, if slope instability forces work to stop, the mine reacts immediately, maintenance teams are called in, plans are adjusted and managers start asking what happened.
In contrast, smaller losses are harder to deal with because they rarely look urgent. A shift takes longer to get moving because trucks were left where they happened to finish, rather than where production needed them or a shovel waits for a truck for one extra minute, then another, then another.
None of these moments looks serious on its own, but across a full shift, they add up – burning fuel, machine hours and productive time without creating a single obvious event for the control room to respond to. That is why micro-variances are so expensive: They turn operational friction into cost before anyone has a reason to intervene.
Where small losses come from
Every open-pit mine starts the shift with a plan. On paper, the system is balanced: trucks cycle within target times, excavators maintain planned productivity, haul roads remain passable and dispatch keeps the fleet moving. Reality, however, rarely follows that script.
For example, one driver keeps a steady pace, while another loses speed on ramps or slows at intersections, or a stretch of road develops ruts and loose material after repeated spillage, and trucks drop a few kilometres per hour. No one calls this a failure, which is exactly why it becomes dangerous.
The mine continues to operate, so the loss becomes acceptable. Trucks move, shovels load, roads stay open, production may remain within the allowed variance. Yet, underneath that normality, the operation is leaking time, fuel and machine hours.
The economics of variability
The cost of variability is easy to underestimate because it does not arrive as one large loss, but more as thousands of small charges against margin. A fleet of 50 trucks, each losing 10 minutes per shift, can burn hundreds of thousands of litres of diesel a year without moving extra tonnes. The mine pays for that time twice: once in fuel and again in lost productive capacity.
This is where open-pit operations often have a measurement gap. Modern fleet management systems can record thousands of events every shift, but recording an event is not the same as understanding its economic weight. Some delays are normal operating noise, while others are recurring patterns that quietly change the cost per tonne.
In African operations, that distinction matters even more. Fuel travels longer distances, infrastructure leaves less room for recovery, and leaner control rooms have fewer people to read weak signals in real time. A small delay one operation absorbs can propagate faster in another. The question is whether the mine can see which small deviations are already becoming costly.
From visibility to intervention
This is where the next layer of operational intelligence is beginning to make a difference. Instead of treating each event as an isolated exception, a multi-agent system watches how nearly invisible to a human-eye deviations propagate across the operation and acts on them within minutes while they are still small.
Consider a simple example: An excavator operator stays away past the planned break. On its own, a delay of several minutes may not seem important, but the loading unit sits idle, trucks arrive with nothing to load, queues form and dispatch loses the balance of the fleet.
The system does not wait for the production report. When the delay crosses a set threshold, it flags the operator, and if no one responds in time, it escalates to the supervisor or dispatcher. The intervention takes place while the disruption is still minutes long, before it spreads. The people running the mine remain responsible for deciding how to respond, but they no longer have to identify every emerging source of loss themselves.
The same principle applies to equipment health. A haul-truck driver sees a warning light – a sudden drop in engine oil pressure – and decides to finish the current haul before reporting it, sure the truck will make the dump point or the workshop. Sometimes, those few additional minutes are enough for a minor fault to develop into an engine failure, resulting in repairs, unplanned downtime and a production asset lost for days.
Here, too, action starts the moment the condition is detected. The truck’s onboard systems register it and alert the operator, dispatcher and maintenance team at once. If the driver does not respond in time and the safety conditions are met, the system can initiate the agreed protective procedure automatically, so the mine preserves both equipment availability and production continuity.
And despite the fact that open-pit mining will always run on changing conditions, the opportunity lies in preventing routine deviations or human factors from becoming permanent inefficiencies, as the biggest gains rarely come from eliminating dramatic failures.
More often, they come from preventing thousands of small minutes from ever turning into lost production. Controlling those is the difference between a mine that reacts to its shift and one that runs it.
Maxim Kuzemchenko
Founder