Ferreyros’ 1,000th Caterpillar mining truck in Peru: fleet and haul design notes
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Ferreyros has delivered Peru’s 1,000th Caterpillar mining truck, a 410 short ton (372 t) payload Cat 798, to Compañía Minera Antamina for use at its copper-zinc operation at around 4,300 m elevation. The ultra-class truck will operate in high-altitude, low-oxygen conditions that challenge engine performance, tyre behaviour and haul road design, demanding close attention to cooling systems, fuel management and braking. For mine planners, the additional 372 t unit affects fleet dispatch, ramp geometry and crusher feed scheduling at one of Peru’s largest open pits.
Technical Brief
- Local dealer support at 4,300 m elevation implies dedicated high-altitude parts, service and diagnostic capability.
- Commissioning at Antamina will require integration with existing dispatch, fuel management and condition monitoring systems.
- The Cat 798 addition will drive updates to Antamina’s haul road maintenance and grading schedules to match axle loads.
- Ferreyros’ long-running supply relationship with Antamina reduces interface risk for operator training and maintenance procedures.
Our Take
Antamina’s move to a 45‑unit fleet of 400 t class Cat 798s, as noted in our August 2026 coverage, signals that Peru’s largest copper‑zinc operations are standardising on ultra‑class Caterpillar trucks, which tends to lock in Ferreyros as a long‑term support and rebuild partner.
Across recent Peru copper pieces in our database – including Quellaveco’s autonomous 794 AC fleet and Las Bambas’ large Cat 798 order – Caterpillar and Ferreyros consistently appear together, suggesting they now dominate high‑payload haulage supply for the country’s tier‑one open pits.
With copper and zinc both flagged in this item, Antamina’s high‑altitude truck fleet decisions are likely to be a bellwether for other polymetallic Andean mines facing similar haul profiles and oxygen‑limited engine performance constraints.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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