Mining tyre management: design and planning takeaways for open-pit engineers
Reviewed by Tom Sullivan

First reported on Australian Mining
30 Second Briefing
Leveraging mining tyre management for cost and emissions gains, Kal Tire argues that optimising haul truck tyres can materially cut both fuel burn and tyre spend in open-pit operations where loading and haulage already account for roughly 50–60 per cent of operating costs. The company points to better inflation control, haul-road maintenance and tyre selection for specific pit profiles as levers to reduce rolling resistance and extend tyre life on 200–400 t class trucks. For engineers, the message is that tyre data, road design and maintenance planning should be integrated into mine planning, not treated as a consumables issue.
Technical Brief
- Tyre management is framed as a design parameter influencing rolling resistance, not just a consumable maintenance task.
- The paper links tyre pressure deviations directly to increased contact patch, heat build-up and accelerated carcass fatigue.
- Haul-road defects such as corrugations, potholes and poor crossfall are identified as primary triggers of sidewall damage.
- Kal Tire stresses matching tread compound and pattern to specific underfoot conditions rather than standardising across the fleet.
- Data from on-vehicle TPMS and fleet management systems is proposed for correlating tyre events with specific road segments.
- The paper advocates integrating tyre performance KPIs into mine planning cycles alongside drill–blast and road maintenance schedules.
- As more mines track tyre performance digitally, Kal Tire expects benchmarking of rolling-resistance losses between sites to become routine.
Our Take
With loading and haulage typically accounting for 50–60% of open‑pit operating costs, tyre performance optimisation in Australia can materially shift a mine’s cost curve, especially for operations already constrained by diesel and labour costs.
Kal Tire’s focus on tyre management in Australia intersects with a cluster of our sustainability‑tagged mining pieces that emphasise incremental efficiency gains (rather than major fleet overhauls) as a near‑term route to emissions reduction.
In our database, many AI‑tagged mining stories relate to predictive maintenance and fleet optimisation, suggesting that integrating tyre condition data into those systems could unlock further cost and emissions benefits beyond conventional tyre‑life extensions.
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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