CAS Fatigue Risk Model


Circadian Alertness Simulator (CAS)

The Longest Operationally Used Biomathematical Fatigue Risk Model is Now Available as a Web-Based Subscription


The CIRCADIAN® Alertness Simulator (CAS) is the longest operationally used biomathematical fatigue risk model with a 25+ year validated record of reducing errors, incidents, and injuries in a wide range of real-world operational settings (e.g., transportation, energy, manufacturing, etc.).

You enter a work schedule containing a minimum of 7-days of work history and CAS uses the laws of circadian sleep physiology to calculate a fatigue risk score from 0-100. As the fatigue risk score increases, so does the relative probability of having an incident, error, or accident.

CAS Creates a Fatigue Risk Informed Operation: Fatigue is one of the most common sources of human impairment, costing business billions of dollars each year. Yet most operations don’t have an easy way to measure employee fatigue. To paraphrase the famous management consultant Peter Drucker: If you can’t measure fatigue risk, you can’t improve it.

The CAS Fatigue Risk Model empowers managers to measure fatigue risk and provides them with a critical feedback tool to drive down the risk and cost of fatigue in their operations:

  1. Benchmark Fatigue – Document fatigue scores and trends (e.g., last week, last month, last quarter). How are we trending? How does that correlate with our KPIs?

  2. Assess Real-Time Fatigue - Determine who is at greatest risk for a fatigue-related incident right now and employ countermeasures.

  3. Fatigue Risk Informed Planning – How will this bid schedule, overtime assignment, shift swap or schedule deviation impact an employee’s fatigue score? What schedule adjustments can we utilize to improve safety?

CAS Now Available as a Web-Based Subscription: For the first time, the CAS Fatigue Risk Model is now available as a cloud-based tool (i.e., SaaS) providing customers with the ultimate flexibility to run analyses wherever they have internet access.

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