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Airline Scheduling: An Overview

Author

Listed:
  • Maximilian M. Etschmaier

    (University of Lowell, Lowell, Massachusetts)

  • Dennis F. X. Mathaisel

    (Massachusetts Institute of Technology, Cambridge, Massachusetts Babson College, Babson Park, Massachusetts)

Abstract

The flight schedule is the central element of an airline’s planning process, aimed at optimizing the deployment of the airline’s resources in order to meet demands and maximize profits. In this paper, we present an overview of contributions to airline scheduling made by operations research professionals during the past 20 years or so. The overview follows the development of airline scheduling methodology from an early emphasis on standard quantitative optimization techniques to the recent trends toward a structured planning process in which all parts of the airline participate in the “construction” and “evaluation” of schedules, combining exact mathematical programming algorithms and heuristics.

Suggested Citation

  • Maximilian M. Etschmaier & Dennis F. X. Mathaisel, 1985. "Airline Scheduling: An Overview," Transportation Science, INFORMS, vol. 19(2), pages 127-138, May.
    • Handle: RePEc:inm:ortrsc:v:19:y:1985:i:2:p:127-138
    DOI: 10.1287/trsc.19.2.127
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    Cited by:

    1. Wen, Xin & Sun, Xuting & Sun, Yige & Yue, Xiaohang, 2021. "Airline crew scheduling: Models and algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    2. Mancini, Simona & Gansterer, Margaretha, 2021. "Vehicle scheduling for rental-with-driver services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    3. Wedelin, Dag, 1995. "The design of a 0-1 integer optimizer and its application in the Carmen system," European Journal of Operational Research, Elsevier, vol. 87(3), pages 722-730, December.
    4. de Palma, André & Ordás Criado, Carlos & Randrianarisoa, Laingo M., 2018. "When Hotelling meets Vickrey. Service timing and spatial asymmetry in the airline industry," Journal of Urban Economics, Elsevier, vol. 105(C), pages 88-106.
    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. Weihao Ouyang & Xiaohong Zhu, 2023. "Meta-Heuristic Solver with Parallel Genetic Algorithm Framework in Airline Crew Scheduling," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    7. Henderson, Isaac Levi & Tsui, Kan Wai Hong & Ngo, Thanh & Gilbey, Andrew & Avis, Mark, 2019. "Airline brand choice in a duopolistic market: The case of New Zealand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 147-163.

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