Open source ML Python package for airline Crew Pairing Optimization
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Updated
Jun 25, 2021 - Python
Open source ML Python package for airline Crew Pairing Optimization
Smart Flight Crew Scheduling System
FAA Part 117 & EASA FTL duty-time compliance engineering — versioned rule schemas, deterministic rule engines, and audit-ready Python for flight operations and crew scheduling teams.
Laboratory scheduling of maintenance work: crews, outage windows, spare parts, and frozen planned requests. SynAPS searches for slots; a separate fail-closed checker in Python and Rust checks the rules. Synthetic fixtures. ISO 16290 TRL 4 self-assessment: a laboratory, not a plant pilot or a certificate.
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