How do you prove the value of something that never happened?
For reliability and maintenance teams in mining, that is the central problem with preventative technology. A prevented component failure leaves no trace. There is no maintenance record, no repair invoice, no downtime to point to. On any single haul truck, the effect of preventative technologies may as well be attributed to chance. This is the prevention paradox: the better the technology works, the less there is to measure.
Drawing on two years of operational data from a large haul truck fleet on Australia’s East Coast, this whitepaper puts hard numbers against the problem: 23 rear axle suspension component replacemens, $1.76 million in direct repair costs, and over 3,000 hours of recorded downtime, with most components failing at around 60% of their design life. The production losses sitting beneath those repair invoices were larger again.
The conclusion is consistent across the data:
a single truck validates the technology, but a fleet captures the value.
Key Topics:
- Why proving the value of preventive maintenance technologies is difficult
- New methodologies to measure the value of preventative maintenance technologies
- The real cost of premature failures in a tier 1 mining fleet
- The fleet risk model and rollout strategy comparison using our ROI Calculator