Off-Highway Truck Cost per Ton: 12 Ways to Reduce Mining Costs

Off-highway truck cost per ton is the total cost of operating a haul truck divided by the total tonnage the truck moves over the same period. The formula is straightforward: (fuel + tires + parts & consumables + labor + capital recovery + overhead) ÷ total tons hauled. What makes the number difficult in practice is not the formula — it's building the data pipeline to get all six cost categories captured accurately per truck, matched against payload weigh-in data, and reported consistently. Most mid-tier sites can produce a fleet-average number without much trouble, but per-truck cost per ton — which is where the real optimization signal lives — requires digital inspections, work order data, fuel logs and payload records living in one connected system. A typical ultra-class haul truck in the 200–400 ton range costs over $1 million per year to operate; multiplied across a 20–40 truck fleet, small movements in cost per ton produce very large dollar swings. That's why the KPI matters even at operations where the tonnage side of the ratio is essentially fixed by ore body and processing capacity.

Benchmarks vary enormously by ore type, haul distance, road grade, elevation, truck class and local fuel and labor costs, so any single "good" number is misleading without context. What matters more than an absolute benchmark is trending: the same fleet, same conditions, should be able to reduce cost per ton by 15–25% over 12 to 18 months through a disciplined program that raises availability, cuts idle time, extends tire life and shifts the planned-to-unplanned repair ratio. Top-quartile operations in the same commodity segment typically run cost per ton 20–30% below industry average, driven mostly by four factors: fleet availability above 88%, idle time under 15%, planned-to-unplanned work ratio at 80/20 or better, and tire life within 10% of manufacturer TKPH targets. If your fleet is missing any of those four, the improvement potential is likely significant.

On a standard hourly-cost breakdown, fuel typically leads at around 35% of the number, tires at roughly 20%, parts and consumables at 18%, labor at 15%, and capital recovery/allocated overhead at 12%. So fuel is the biggest single line — but the biggest lever isn't cutting any one line, it's raising equipment availability. Every percentage point of availability recovered spreads the fixed costs (labor, capital, overhead) over more tons, which pulls the entire cost-per-ton number down without touching the individual expense categories. That's why unplanned downtime is such a punishing cost driver: a single haul truck down unplanned burns $5,000 to $20,000 per hour in direct and opportunity cost, and the same repair done as emergency work costs about 4.8 times the planned version. Reducing unplanned events is the highest-leverage single intervention available — and it comes almost entirely from preventive maintenance discipline and inspection quality, not from equipment capex.

The math is compelling. Moving a fleet from a 55/45 planned-to-unplanned repair ratio to 80/20 typically saves 15–20% on total maintenance spend, because emergency repairs run roughly 4.8 times the cost of the same job done planned (accounting for expedited parts, overtime labor, secondary damage and lost production). On availability, disciplined meter-based PM commonly raises fleet availability by 4 to 7 percentage points — and every point of availability directly reduces cost per ton by spreading fixed costs over more tons. On tires, proper pressure and TKPH management can extend life by 25–40%, cutting per-ton tire cost by a similar amount. Combined across the three categories, a well-run 12-month program at a mid-tier mine can pull cost per ton down by 15–25%. On a 20-truck fleet moving 4 million tons per year, even a 20-cent reduction is over $800,000 in annual savings; a 50-cent reduction is over $2 million.

For any mining operation running more than a handful of haul trucks, the answer is essentially always yes — and the payback is typically fast because the savings come from three separate directions at once. First, preventive maintenance moves work from unplanned (~4.8x cost) to planned, which lands directly on the maintenance line. Second, digital inspections catch the small defects that become expensive failures, which lands on the parts, labor and downtime lines. Third, connected data on tire pressure, idle time, fuel-per-hour and availability surfaces the operational drift that a monthly variance report never explains, which lands on fuel, tires and cost per ton. Published customer data across HVI's mining and heavy-equipment fleets shows roughly ~25% lower annual maintenance cost after full deployment and a payback period around 3 months. On a fleet where a single haul truck's annual operating cost exceeds $1 million, the ROI math works even in the pessimistic case. What actually matters more than the software cost is how quickly the operation adopts the discipline — the fleets that move fast see the number shift in the first quarter; those that half-implement see partial returns.