A math-heuristic algorithm for the integrated air service recovery

Dong Zhang, Chuhang Yu, Jitamitra Desai and H.Y.K. Henry Lau

Transportation Research Part B: Methodological, 2016, vol. 84, issue C, 211-236

Abstract: A sophisticated flight schedule might be easily disrupted due to adverse weather, aircraft mechanical failures, crew absences, etc. Airlines incur huge costs stemming from such flight schedule disruptions in addition to the serious inconveniences experienced by passengers. Therefore, an efficient recovery solution that simultaneously decreases an airline's recovery cost while simultaneously mitigating passenger dissatisfaction is of great importance to the airline industry. In this paper, we study the integrated airline service recovery problem in which the aircraft and passenger schedule recovery problems are simultaneously addressed, with the objective of minimizing aircraft recovery and operating costs, passenger itinerary delay cost, and passenger itinerary cancellation cost.

Keywords: Airline service recovery problem; Aircraft schedule recovery; Passenger rescheduling; Disrupted flight itineraries; 0-1 Mixed-integer programming; Greedy algorithms (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.trb.2015.11.016

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