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Airline Crew Recovery

The article proposes a solution that uses optimization and machine learning to fix disrupted airline crew schedules, considering aircraft recovery plans and passenger disruption costs.

Featured in No. 89 on 20 Mar 2025 · 5 days after release

Released
15 Mar 2025
First featured
No. 89 · 20 Mar 2025
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 5180044

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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