Fatigue Risk Management
Risk-based Integrated Fatigue Management
With people’s safety at stake, managing risk is an important and necessary part of every workplace. Zurich Risk Engineering, in partnership with InterDynamics, have developed a Fatigue Risk Management System (FRMS) to help our customers manage the risks associated with fatigue.
Effectively managing the risks associated with fatigue is much more than simply ‘stopping work when you’re tired’.
Until recently, many organisations have been reluctant to assess the level of fatigue inherent within their operations due to a lack of intervention tools (other than stopping work). However today there are many intervention tools available such as fatigue based scheduling, powernaps, alertness measurement devices, loss investigation and of course, sleep.
The difficulty is putting these interventions/controls onto a risk based framework to effectively manage the risks associated with fatigue.
In response to this, InterDynamics in partnership with Zurich Risk Engineering developed a Fatigue Risk Management System (FRMS) that is essentially an integrated, risk-based solution to Fatigue Management. This solution is an interactive, coordinated process that:
- Determines a Risk Tolerance to either compare with other groups or set as the organisational risk tolerance level
- Sets specific Fatigue Tolerance Levels for selected jobs or tasks
- Uses Fatigue Tolerance Levels to identify appropriate controls/procedures for managing fatigue-related risk and ensuring safe job activity
- Records the agreed controls/procedures so they are available to be used later.
FAID® – Fatigue Assessment Software
FAID® software program is used to estimate work-related fatigue based on hours of work. As part of an overall company Safety Management System, this software helps to identify fatigue exposures and monitor the effects of risk improvements related to hours of work. The program is derived from research developed and validated at the Center for Sleep Research, University of South Australia, by Dr Adam Fletcher and Professor Drew Dawson.
The statistical models in FAID® estimate work-related fatigue based on the following four factors:
- Time of day of work and breaks
- Duration of work and breaks
- Work history in the preceding seven days
- Biological limits on recovery sleep.
You can find our more about Fatigue Risk Management in our flyer.