Unlike subjective methods for estimating crew fatigue, ReadiAnalytics captures anonymous sleep data from a sample of crew workers and then processes it alongside a variety of circadian factors with a scientifically-validated biomathematical model. The model then quantifies which on-duty crews will be the most and least fatigued, and how that fatigue will trend over time as their shift pattern progresses. Crucially, worker privacy is preserved, as insights are anonymized and aggregated for each crew, site, and the company.
https://fatiguescience.com/wp-content/uploads/2020/05/ReadiAnalytics-Heavy-Industry.png 4203 6279 Fatigue Science http://fatiguescience.com/wp-content/uploads/2021/03/FatigueScience_White-1.svg Fatigue Science2020-05-27 12:14:012021-06-08 16:12:09Introducing ReadiAnalytics: real-time objective visibility into workforce fatigue
Subscribe To Our Monthly Newsletter
©2021 Fatigue Science