Scheduling rules
Apply your fatigue policy to every roster decision.
Assess proposed work against configurable conditions, including sleep opportunity, work hours, consecutive work, fatigue severity and relevant work history.
Platform capability
RASP brings together your scheduling rules, FAID® Quantum modelling and employee self-assessment to support better-informed fatigue decisions.
Layered fatigue management
A schedule can show the opportunity for rest. A model can estimate fatigue likelihood. Only the employee can report how they feel right now. RASP brings these perspectives together where the decision is being made.
Apply your fatigue policy to every roster decision.
Assess proposed work against configurable conditions, including sleep opportunity, work hours, consecutive work, fatigue severity and relevant work history.
Add modelled fatigue risk to scheduling decisions.
Bring FAID Quantum insight directly into the rostering workflow, with predicted fatigue risk presented as a clear Low, Medium or High result.
Capture how the employee is feeling right now.
Request a self-assessment when a scheduling rule requires more information. Employees can record their current fatigue and sleepiness.
FAID® is a trademark of InterDynamics Pty Ltd. FAID Quantum integration is available where the customer holds the required agreement and licence with InterDynamics.
Each layer adds context to the same scheduling decision.
See it in actionInside each layer
Each pillar contributes something different. RASP keeps the evidence, context and configured response together.
01 · Scheduling rules
Fatigue policies differ by operation, workforce and risk setting. RASP evaluates the conditions that matter to your organisation as worked shifts are assigned.
Assignment check
M. Delacroix · Thu 22:00–06:00
02 · Biomathematical modelling
FAID Quantum output is visible alongside the proposed work instead of being isolated in a separate report. It can inform RASP’s fatigue rules and scheduling controls.
Fatigue likelihood
FAID
72
KSS
6
Fatigue-likelihood insight supports operational decisions; it does not determine fitness for work.
03 · Employee input
Schedules and models provide important information, but they cannot establish how an employee feels at a particular moment. RASP adds employee-reported context without separating it from the operational workflow.
Employee check-in
M. Delacroix
Shift Supervisor
Triggered by
Consecutive night work rule
Scheduling context
Thu 22:00–06:00 assignment
Recorded
Today, 18:42
One operational workflow
The layers work in the flow of scheduling, so teams do not have to reconcile separate systems and reports.
RASP gathers the employee’s relevant planned and eligible actual work context.
Configured conditions are evaluated and FAID Quantum returns FAID and KSS results.
The fatigue status and the reason behind it appear while the assignment is still being considered.
RASP can warn, block or request an employee self-assessment based on the rule.
Works with
Assess fatigue in the same workflow used to compare candidates and assign work.
ExploreApply configured workforce controls consistently and make exceptions visible.
ExploreKeep fatigue information connected to the operation as planned work becomes actual work.
ExploreRequest a demo
Explore how RASP combines your fatigue rules, FAID Quantum modelling and employee self-assessment to support safer, better-informed scheduling decisions.