Sleep science can be mind-boggling. Many different factors are contributing to crew fatigue such as time awake, time of day, sleep debt, acclimatisation, duty time and number of sectors flown. Teaching and learning in detail how a fatigue model, and thereby our physiology, functions when a rostered sequence of activities is processed into fatigue risk predictions, is therefore not an easy task.
Understanding the science would be so much easier if there was a user friendly way to explore the model by varying input and settings and observing the outcome. Did you know that there already is a way of doing so, using your iPhone, iPad or Mac? John Gustavsson Sangsta, three times awarded Mobile FRM developer of the year, and currently the lead developer of the CrewAlert-suite of tools, explains:
"Nothing beats hands-on experience. CrewAlert has built-in scenario capabilities allowing for users to easily do their own 'what-if' modelling. There's also an extended 'analysis mode' allowing for setting a 'virtual time' and digging into prediction details. It turns out it is so much easier to learn when building and analysing scenarios by being hands-on with the fatigue model yourself through a powerful application. When we get involved, we learn!"
You can read more about CrewAlert scenarios here, and the analysis mode in this document. You are also most welcome to contact us or attend our training courses should you wish to engage further.
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