Network-aware scheduling

Flags when a tail's due check won't reach a capable station before its limit. Advisory — it surfaces the risk, it doesn't block dispatch.

For each tail, the board checks whether its next-due maintenance check can reach a station that's both reachable and rated for that check before the limit comes due. When it can't, an at-risk chip surfaces on the routing view so the desk sees it while there's still time to re-route. It is advisory: it flags the risk on the board, it does not block or prevent a dispatch. It composes with — never replaces — the FAR 117 / 121.467 crew legality the scheduler already enforces. It replaces noticing a stranded check after the aircraft is already out of position.

Surfaces deadhead legs and out-of-base overnights so trips can be positioned to return crew to their domicile.

Trips are scored against where your crew are actually based, surfacing deadhead legs and out-of-base overnights, so the desk can prefer assignments that begin and end at a crew member's domicile. On the ad-hoc charter side the inputs are trips and positioning rather than fixed lines, but the read is the same. It replaces eyeballing which trips strand a crew away from base.

A configurable weighted score (abstract points, lower = better) over deadhead, overnights, repositioning, and maintenance-fit slack — set your own weights.

The board rolls the soft factors — deadhead legs, out-of-base overnights, aircraft repositioning, and maintenance-fit slack — into a single weighted score, shown as abstract points where lower is better. The weights are configurable per center, so you decide what matters most for your operation; the score is a planning signal, not a dollar figure. It replaces comparing schedule options by gut feel.

Deterministic aircraft-swap and re-base proposals that improve the score — every suggestion shows its reasoning. Not AI, not a guaranteed optimum.

When a swap or re-base would lower the efficiency score without creating a maintenance-routing risk, the board proposes it and shows the reasoning behind it — what it changes and how many points it saves. The suggestions are deterministic and explainable heuristics: the same inputs always produce the same proposals, and each one traces back to its inputs. They are not AI, not a solver, and not a claim of the single optimal schedule — they are ranked, transparent improvements you choose to apply. It replaces rebuilding the schedule by hand to test an idea.