What FAID Quantum can do for you
FAID Quantum utilises validated biomathematical models to estimate fatigue exposure of an “average” individual associated with hours of work. FAID Quantum supports proactive, reactive and predictive fatigue risk management in any industry.
The key to using FAID Quantum effectively is to understand that it is a powerful analytical tool with regards to hours of work.
Organisations have the ability to quickly perform a fatigue assessment and review and audit the work patterns of personnel. This provides an insightful view into trends in your workforce. Whether conducting a fatigue assessment on a single roster, or a year’s worth of data for thousands of employees, FAID Quantum promptly provides a multitude of practical and relevant outputs to help you quickly identify and understand the relative fatigue exposure of the work hours or duty periods analysed.
FAID Quantum is a very practical decision making tool allowing organisations to plan and audit rosters/duty periods within agreed fatigue exposure levels (FAID Score and KSS Score benchmark figures). These Tolerance Levels (TLs) are decided upon by the organisation after a fatigue risk assessment (see Fatigue Hazard Analysis Risk Assessments). FAID Quantum brings greater risk management rigour to the hours of work planning and review process than merely following prescriptive hours of service rules.
Biomathematical fatigue models
FAID Quantum contains two discrete biomathematical models (BMMs). The two BMMs compliment each other – providing a richer overall understanding of fatigue exposures.
The FAID Standard BMM was first released by InterDynamics in 1999. Developed and validated by Dr. Adam Fletcher and Professor Drew Dawson at the Centre for Sleep Research, the calculations take into account results of statistical analysis from research performed into fatigue levels over a broad sample population. FAID has proven itself a practical, reliable tool for identifying indicative hours of work related fatigue exposure in a variety of operational contexts, cultures and industries. You can read more about FAID Scores here.
Since 2016, the FAID Quantum BMM has been available as a second output. Developed by Dr David Darwent in conjunction with Professor Drew Dawson and Dr Greg Roach of the Appleton Institute, it uses highly accurate sleep-wake predictor algorithms and analyses the work-rest schedules of your personnel to produce predicted KSS Scores. The researchers at the Appleton Institute used what may be the largest database of quality sleep-wake data in the world, incorporating nearly 15,000 days and nights of data collected from various industries, including long-haul aviation, to underpin predictions.
To understand more, please read BMM Warning.
FAID Quantum Fatigue Assessment Tool, after carrying out a fatigue assessment on hours of work (for example a roster or work pattern), provides KSS and FAID Score reports. The higher the scores, the higher the indicative fatigue exposure for a particular work period or shift. Peak scores for each work period or shift are provided as well as the score plot across a shift period. This information can then be used to highlight areas within a roster or schedule with higher indicative exposure. Understanding these relativities with regards to hours of work related fatigue exposure, and the consequence of associated fatigue risk, can greatly assist in the decision making process to ensure acceptable controls are in place to manage these risks. Of course other factors such as lifestyle, working environment and conditions, employee experience, etc. should also be considered in determining the most appropriate hours of work (see Managing Fatigue Surveys).
For further information you may be interested in reading ‘Fatigue and risk management discussion‘ by Dr Adam Fletcher, and ‘Practical and contextual use of biomathematical models’.
Determining which product suits your needs
Pricing and delivery
Current pricing can be obtained from the Price List for the variants of FAID Quantum available. Delivery of purchased software is quick and simple via download from your own folder on our secure servers.