Strategic Fatigue Risk Modeling for Safer, Smarter Operations
Leverage predictive, proactive, and reactive models in SAFTE-FAST to minimize fatigue-related risk, enhance workforce performance, and drive continuous operational improvement.
Predictive Modeling
Predictive modeling identifies patterns in duties and rest that reliably lead to fatigue. It estimates fatigue risk using factors like sleep, schedule timing, and circadian rhythms—helping organizations identify fatigue risks early on in the process.
Proactive Modeling
Proactive modeling leverages the SAFTE-FAST model to identify fatigue hotspots before schedules are published. By using SAFTE-FAST metrics, analysts can evaluate fatigue risk against their organizational risk tolerances early in the planning process—enabling targeted adjustments that reduce risk before schedules are assigned to crewmembers.
Reactive Modeling
Reactive modeling is applied to fatigue reports, incident investigations, and planned vs. actual schedule comparisons. This process supports learning and continuous improvement in fatigue risk management.
SAFTE-FAST Console Online
Hosted by AWS
Built on AWS for Unmatched Security, Reliability, and Performance
SAFTE-FAST Console Online runs on Amazon Web Services (AWS), the world’s most trusted cloud platform. AWS provides enterprise-grade security, high availability, and the ability to scale on demand.
Reliable, Cost-Effective Hosting with EC2
Deploy your SAFTE-FAST Console on a dedicated AWS EC2 server—ideal for small to mid-sized organizations seeking reliable performance without high hosting costs.
Enjoy simplified setup, consistent uptime, and cost-effective scalability for workloads that don’t require large-scale traffic handling.
Workload
Incorporate workload-related fatigue factors into your schedule analysis.
​
Apply your own custom workload rules across different workforce groups in your organization.
Identify areas of high-compound fatigue risk where workload demands exceed cognitive capacity.
