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Recovering from demand disruptions on an air cargo network

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  • Delgado, Felipe
  • Sirhan, Cristóbal
  • Katscher, Mathias
  • Larrain, Homero

Abstract

In this work we introduce the Air Cargo Schedule Recovery Problem (ACSRP). In this problem, a carrier airline has to reschedule flights and requests to adapt to last-minute demand changes. We consider three different possible crew management policies that translate into three different way to evaluate the costs of deviating from the original schedule. We formulated the ACSRP as a mixed integer linear programming problem, and tested our implementation on 24 original schedules with up to 30 orders and 8 airports, and 4 different disruption scenarios for each one. Our results show that, against a benchmark recovery policy where only cargo is re-routed, recovery can yield savings of roughly 10%.

Suggested Citation

  • Delgado, Felipe & Sirhan, Cristóbal & Katscher, Mathias & Larrain, Homero, 2020. "Recovering from demand disruptions on an air cargo network," Journal of Air Transport Management, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:jaitra:v:85:y:2020:i:c:s0969699719302479
    DOI: 10.1016/j.jairtraman.2020.101799
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    References listed on IDEAS

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    5. Delgado, Felipe & Mora, Julio, 2021. "A matheuristic approach to the air-cargo recovery problem under demand disruption," Journal of Air Transport Management, Elsevier, vol. 90(C).
    6. Tanrıverdi, Gökhan & Bakır, Mahmut & Merkert, Rico, 2020. "What can we learn from the JATM literature for the future of aviation post Covid-19? - A bibliometric and visualization analysis," Journal of Air Transport Management, Elsevier, vol. 89(C).

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