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Equipment OEE

Know your fleet's true performance — before maintenance comes to you.

Equipment OEE — Live Preview
Connected

Fleet OEE (Current Shift)

68.3%

↓
AT RISK

Truck #T14 Availability

54%

↓
CRITICAL

Excavator Utilisation

81.2%

↑
ON TRACK

Planned Maintenance Hit Rate

91%

→
ON TRACK

Live data requires Appilico OS subscription. Book a demo for a personalised walkthrough.

The Problem

Hidden equipment underperformance costs Pilbara operators millions in lost tonnes. Equipment OEE surfaces availability gaps, performance losses, and quality issues the moment they occur — not at month end.

The Outcome

Add 6 OEE points — worth A$8M/yr at scale

Predictive maintenance + real-time visibility = fewer surprises.

Key features

OEE heatmap across entire fleet (trucks, excavators, drills, dozers)
Availability / Performance / Quality breakdown per asset
AI-powered predictive maintenance alerts
Maintenance schedule vs actual overlay
Hour-by-hour utilisation trend charts
Fleet benchmarking: actual vs target OEE
IoT sensor integration (tyre pressure, engine temps)

Sample insights

Fleet OEE (Current Shift)

68.3%

AT RISK

Truck #T14 Availability

54%

CRITICAL

Excavator Utilisation

81.2%

ON TRACK

Planned Maintenance Hit Rate

91%

ON TRACK

Industry use case

A Roy Hill-scale iron ore operation identifies an excavator with degrading bucket-fill factor 72 hours before a planned failure using the AI anomaly alert. Pre-emptive maintenance is scheduled — avoiding a 16-hour unplanned outage worth A$2.4M in lost production.

Composite case study based on Australian Pilbara iron ore operations

Integrations

Wenco
MineStar
Pitram
Komatsu FMS
Caterpillar VIMS
Maximo

Don't see yours? Contact us — we integrate with most ODBC-compatible systems.

Download sample data

Representative Australian mining dataset used to build this dashboard. CSV format.

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Shift-level production intelligence — from drill to stockpile.

Cost Variance

Know your cost per tonne before the month is over.

See it on your data

Book a 15-minute demo and we'll show you the Equipment OEE dashboard running on a dataset representative of your operation.