alirezaaminzadeh/airrecover-solver-config

Airline Disruption Recovery — Solver Configuration

This repository publishes the solver configuration and benchmark summary for the Integrated Airline Disruption Recovery System. It is a configuration / decision-model artifact, not a trained neural network: the "model" is a multi-stage optimization pipeline combining a time-space network construction heuristic, Large Neighborhood Search, OR-Tools CP-SAT gate assignment, and a priority-weighted passenger reaccommodation flow.

Components

Stage	Method
Aircraft Rotation Recovery	Time-space network + chronological min-cost matching + Large Neighborhood Search
Crew Pairing Recovery	Duty/rest legality checker + reserve-pool reassignment
Passenger Reaccommodation	Priority-weighted greedy multi-commodity rebooking
Gate Assignment	OR-Tools CP-SAT no-overlap interval scheduling
Multi-Objective Tradeoff	Pareto frontier sweep: airline cost vs passenger impact

Cost Model

Term	Value (USD)
Per minute of flight delay	45.0
Per flight cancellation	28,000.0
Per unplanned aircraft swap	900.0
Per crew pairing reassignment	650.0
Per misconnected passenger	340.0

See config.json for the full manifest and the latest benchmark summary across all five demo disruption scenarios.

Intended Use

Decision-support and portfolio demonstration for airline operations control center (AOCC) style disruption recovery. Not certified for live operational use; all data is synthetic.

Limitations

• Synthetic hub-and-spoke schedule, not a real airline's data.
• No live weather, ATC, or crew-legality regulatory feed integration.
• Gate assignment and crew legality rules are simplified surrogates of real FAR/EASA and airport slot rules.