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Dynamic yield management when aircraft assignments are subject to swap

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  • Wang, Xiubin
  • Regan, Amelia

Abstract

As a practical form of demand driven dispatch at some major airlines in North America, cockpit compatible aircraft of different capacities are paired in the fleet assignment for a possible future swap on the two involved flights. They are paired in such a way that the swap does not affect their aircraft routings on other legs. The swap decision depends on demand realization on the two flights and is made at a predetermined time prior to departure. Yield management on the two flights is studied in this paper. We begin by studying a base problem in which at a certain time before departure, the assignment on a flight is subject to change with a fixed probability. The base problem extends the threshold policy into the case where future capacity is uncertain. Secondly, we propose a heuristic for yield management over two flights with swappable aircraft by repeatedly updating the swap probability as demand unfolds. Our numerical result shows that this policy significantly enhances the airline's capability to increase revenue under demand driven dispatch. In addition, the base problem may shed lights on derivation of optimal yield management policy in irregular operational settings where final capacity assignment is independent of yield management policy.

Suggested Citation

  • Wang, Xiubin & Regan, Amelia, 2006. "Dynamic yield management when aircraft assignments are subject to swap," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 563-576, August.
  • Handle: RePEc:eee:transb:v:40:y:2006:i:7:p:563-576
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    References listed on IDEAS

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    Cited by:

    1. He, Wen, 2019. "Impact of capacity flexibility on the use of booking limits," European Journal of Operational Research, Elsevier, vol. 274(1), pages 199-213.
    2. Wang, Xiubin & Wang, Fenghuan, 2007. "Dynamic network yield management," Transportation Research Part B: Methodological, Elsevier, vol. 41(4), pages 410-425, May.
    3. Daniel Fry & Peter Belobaba, 2016. "Demand driven dispatch and revenue management in a competitive network environment," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(5), pages 380-398, October.
    4. Christina Büsing & Daniel Kadatz & Catherine Cleophas, 2019. "Capacity Uncertainty in Airline Revenue Management: Models, Algorithms, and Computations," Transportation Science, INFORMS, vol. 53(2), pages 383-400, March.
    5. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    6. Gönsch, Jochen, 2017. "A survey on risk-averse and robust revenue management," European Journal of Operational Research, Elsevier, vol. 263(2), pages 337-348.

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