Enterprise+

Workforce & Fatigue

Optimise your roster. Protect your people. Satisfy your safety regulator.

Workforce & Fatigue — Live Preview
Connected

High Fatigue Risk Workers

7 / 340

AT RISK

Certifications Expiring (<30d)

14

AT RISK

Roster Fill Rate

98.2%

ON TRACK

Overtime Hours (Week)

312 hrs

AT RISK

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

The Problem

FIFO/DIDO fatigue is one of the biggest safety risks in remote Australian mining. The Workforce dashboard monitors fatigue risk scores in real time, ensures roster compliance, and tracks certification expiry before it becomes a compliance gap.

The Outcome

Reduce fatigue-related incidents by 70%

See who's at risk before they clock on for the dangerous shift.

Key features

FIFO/DIDO roster visualisation (12-hour, 2-2-2 patterns)
Real-time fatigue risk scoring (Fatigue Science / FAID model)
Wrist-band and RFID data integration
Certification and competency tracking with expiry alerts
Workforce utilisation rate by role and crew
Training completion and mandatory refresher dashboard
Overtime and hours-worked compliance

Sample insights

High Fatigue Risk Workers

7 / 340

AT RISK

Certifications Expiring (<30d)

14

AT RISK

Roster Fill Rate

98.2%

ON TRACK

Overtime Hours (Week)

312 hrs

AT RISK

Industry use case

A Pilbara iron ore site uses the Fatigue Risk dashboard to identify 11 workers approaching high-risk fatigue status before the night shift. Three are rotated off critical haul-truck duties — zero fatigue-related incidents recorded that shift.

Composite case study based on Australian Pilbara iron ore operations

Integrations

SAP SuccessFactors
Damstra
Kinetic IT
Fatigue Science
FAID

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.

Related dashboards

See it on your data

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