Supervisors at Newmont Peñasquito Mine use Readi daily to assign tasks by fatigue level, intervene on critical risks, and improve productivity.
Crews at four Minsur mine sites rely on Readi to reduce fatigue-related incidents and improve mine output.
Readi’s exclusive algorithm for fatigue prediction was developed by researchers at the US Army and has been validated in studies by the US DoT, FAA, and Harvard.
Readi improves productivity metrics like dig rate and spot time, and our ReadiScore has a proven correlation to critical safety events like microsleeps.
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Fatigue Science2022-11-17 09:30:052022-11-17 11:32:07Machine Learning breakthrough predicts truck accidents and fatigue from ELD data, improving fleet safety records
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Fatigue Science2022-11-02 10:52:522022-11-23 14:16:05Predicting fatigue with machine learning
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Fatigue Science2022-10-14 09:55:492022-10-18 15:41:15Newcrest’s Lihir mine deploys Readi site-wide for predictive fatigue management
“With Readi, we found a path forward that both re-engaged the workforce and renewed confidence among front-line leaders.
The workforce appreciated a tool that was for them, given to them and helped them not just manage their fatigue on shift but also do so on the way to/from work.
This showed we cared about them. The proactive and responsive support from Fatigue Science allowed our operators and leaders…to take a clear step forward in terms of faith in fatigue management technology and, even more simply… just to manage fatigue better.”
