Real-time crew allocation, across every constraint that applies.
When an operation runs at scale, disruptions are not edge cases. They are part of the schedule. A crew member becomes unavailable, a vehicle or aircraft changes type, a delay pushes a sequence out of compliance. The question is never whether a disruption will happen. The question is how fast the operation can recover - without creating new problems in the process.
For most operations teams today, that recovery is manual. A scheduler searches through a pool of available people, checks each one against a ruleset that spans regulatory requirements, qualifications, rest periods, and internal policy, and works through the cascade of downstream changes that each decision creates. At enterprise scale, this takes hours. Sometimes days.
Unframe's Roster Multi-Dimension Scheduling engine compresses that into minutes.
Every constraint, evaluated at once
When a disruption hits, the engine evaluates the full pool of available people against every applicable constraint simultaneously. Hard rules act as a filter first - only candidates who meet every legal and operational requirement make it through. From that feasible set, the engine scores candidates across weighted objectives: cost minimization, schedule stability, coverage priorities. The output is a ranked set of options, each with the reasoning behind it, ready for a human to review and approve.
Nothing commits to the live schedule until a planner approves it. The engine handles the search and the scoring. The decision stays with the person who understands the operation.
Hours of exposure, compressed into a decision
The cost of slow recovery compounds quickly. Every hour a disruption goes unresolved carries direct operational cost and downstream scheduling impact. Operations teams that rely on manual processes are not just slow - they are constrained by the knowledge and capacity of whoever is on shift when the disruption hits.
An engine that runs every constraint in parallel, surfaces ranked options in minutes, and keeps humans in the approval seat changes both the speed and the consistency of recovery decisions. What used to require a team of experienced planners working for hours can become a review-and-approve workflow that takes minutes - regardless of who is on shift or how complex the disruption is.
