Roster intelligence
Inspect duties, transitions and rest windows. Compare alternative proposals against a common baseline.
Inspect the patternMagnussen Aviation Fatigue Risk Model
Understand fatigue.
Before the roster
is flown.
A connected view of aviation fatigue risk. Bringing roster intelligence, transparent modelling and real-world observations into one explainable platform.
Australian-developed · Transparent by design
01Model the pattern.
02Measure the real world.
03Improve the conversation.
The whole roster. The whole picture.
Fatigue doesn’t start
at sign-on.
A duty tells you when someone works.
The pattern tells you what came before.
Early starts, changing duty times, sleep opportunity and recovery can interact across days and roster cycles. Evaluating each duty in isolation can leave important questions unanswered.
MAFRM follows that continuity: inspect the roster, examine cumulative modelled exposure and make the assumptions visible.
Understand the modelling approachRoster intelligence
Test the proposal.
Understand the trade-offs.
Explore a hypothetical transition after three early duties. Switch the fourth day to see the question a scenario comparison could help investigate.
One change. A different recovery opportunity.
Illustrative scenario · synthetic dataA / Early-to-late transition
Day 01 / Early
04:00–12:00Day 02 / Early
04:00–12:00Day 03 / Early
04:00–12:00Day 04 / Proposal
12:00–20:00
The fourth duty starts at 12:00 and ends at 20:00. The review question is how this transition interacts with prior early starts and waking time.
Illustrative scenario using synthetic data. It demonstrates the comparison workflow rather than a live MAFRM result. Sleep, commute and starting-state assumptions are not included in this example.
The MAFRM platform
Three perspectives.
A stronger evidence base.
Connect what was scheduled, what the model indicates and what independent observations show—without confusing one for another.
Continuous modelling
Carry model state across time. Make starting assumptions, configuration and interpretation explicit.
Explore the modelReal-world observations
Keep sleep, physiological observations, fatigue reports and functional testing in a separate evidence layer.
Follow the evidenceBuilt around aviation
Different decisions.
A shared need for evidence.
01
Airlines & operators
Understand recurring roster patterns and the questions they raise.
↗02Safety & FRMS teams
Bring transparent analysis into a broader fatigue management process.
↗03Planners & pilot organisations
Assess proposed working patterns with consistent assumptions.
↗04Research collaborators
Help test the relationship between predictions and observations.
↗Evidence-led by design
Model it.
Measure it.
Improve it.
MAFRM brings together roster review, continuous modelling and scenario comparison. Its roadmap extends this foundation into connected roster history, real-world observations and independent performance evaluation.
The aim is simple: make the reasoning behind each result visible, keep evidence types distinct and improve the quality of fatigue-risk conversations.
Help shape what comes next
A better question starts
with a conversation.
Developing a roster proposal, investigating an operational pattern or planning fatigue research? Let’s explore where MAFRM could contribute.