In the case study, a large Central American copper mine implemented Readi alongside their existing reactive fatigue detection system, Caterpillar DSS. The resulting improvements enhanced both safety and productivity by minimizing disruption to ongoing operations.
https://fatiguescience.com/wp-content/uploads/2023/03/New-case-study-Readi-reduces-fatigue-camera-alarms-thumb.jpg9651192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2023-03-30 08:56:362023-03-30 09:05:33New Case Study: Mine achieves 50% reduction in fatigue camera alarms with Readi predictive technology
We are proud to announce that our Readi platform has been adopted by 20 mine sites worldwide, solidifying its position as the industry standard for managing worker fatigue.
https://fatiguescience.com/wp-content/uploads/2023/03/milestone-thumb.jpg9651192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2023-03-22 10:14:562023-03-22 12:33:05Fatigue Science Achieves Milestone as 20 Mine Sites Adopt Readi Site-Wide for Fatigue Management
In this article, we will explore the differences between reactive and proactive approaches to fatigue management, examining their respective strengths and discussing how they can complement each other to maximize safety and efficiency in mining operations.
https://fatiguescience.com/wp-content/uploads/2023/03/Predictive-vs-reactive-thumb.jpg9641192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2023-03-16 10:09:122023-03-16 10:48:31Predictive vs. Reactive Fatigue Management in Mining
Operator fatigue is a force inherent to mining, and unfortunately an omnipresent threat to safety and productivity, with a direct impact on lost-time incidents, injury, death, and financial losses. In this article, we discuss the impact of worker fatigue on the seven metrics that matter to mining companies.
New research released today from Fatigue Science, the leader in predictive fatigue management technology, revealed the striking ability of its Readi platform to predict the likelihood of an operator’s microsleeps before high-risk work begins.
https://fatiguescience.com/wp-content/uploads/2023/02/microsleep-incidence-thumb.jpg9651192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2023-02-17 09:38:452023-02-17 11:30:47New Research: 3 Mine Sites Reveal Readi Can Predict 12X Higher Chance of Microsleeps
Fatigue Science, the maker of the predictive fatigue management software suite, Readi, aims to make a difference in the trucking sector by enabling fleets to act on driver fatigue before critical moments occur.
We are thrilled to be featured in International Mining's latest article, highlighting the deployment of our predictive fatigue management technology, Readi, by Newcrest Mining at their Lihir gold mine in Papua New Guinea.
https://fatiguescience.com/wp-content/uploads/2023/01/IM-Mining-Readi-thumb.jpg9641192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2023-01-05 13:07:442023-01-05 13:07:44Featured in International Mining: Readi deployed by Newcrest, using ML to predict fatigue
A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalizes a scientific fatigue prediction model for daily use by transportation fleets.
https://fatiguescience.com/wp-content/uploads/2022/12/US-DoT-Study-Thumb.jpg9641192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2022-12-20 17:28:302022-12-20 20:20:14US DoT Study: Readi’s SAFTE can predict 7.3x accident cost from fatigue
Fatigue is a well-known hazard in the trucking industry, with truck driver fatigue being a leading causal factor of numerous roadway accidents every year.
https://fatiguescience.com/wp-content/uploads/2022/12/FS-Driver-fatigue-thumb2.jpg9651192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2022-12-07 12:10:042022-12-07 16:36:45The True Cost of Driver Fatigue for Your Trucking Fleet
Recent advances in Machine Learning are enabling trucking fleets to predict each driver’s probability of getting in a fatigue-related accident on any upcoming shift—before the driver gets behind the wheel.
https://fatiguescience.com/wp-content/uploads/2022/11/ML_truck_thumb2.jpg9641192Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue 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
Enjoy this great article about supporting safety with technology featuring Readi FMIS published by Paul Adair, WDC Staff Writer for Women Driving Change magazine.
https://fatiguescience.com/wp-content/uploads/2022/11/feature-03.png10171627Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2022-11-02 10:52:522022-11-23 14:16:05Predicting fatigue with machine learning
Fatigue Science is proud to announce that Newcrest Mining Limited has deployed its Readi predictive fatigue management technology site-wide at its Lihir mine site in Papua New Guinea.
Glencore's Compañía Minera Lomas Bayas (CMLB), a major producer of low-grade oxide copper ore, announced the implementation of Readi FMIS for predictive fatigue management throughout its site located in the Antofagasta Region.
Fatigue Science was recognized for pioneering a new best practice for safety in mining and heavy industry.
https://fatiguescience.com/wp-content/uploads/2022/08/NSC-Thumb.jpg531657Fatigue Sciencehttp://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svgFatigue Science2022-08-10 08:55:072022-09-13 16:41:27National Safety Council names Fatigue Science a Finalist in prestigious Green Cross Award for Safety Innovation