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Continuous-time dynamic network yield management with demand driven dispatch in the airline industry

Author

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  • Wang, Xiubin
  • Meng, Qiang

Abstract

This study integrates the airlines dynamic network yield management and demand driven dispatch. In this problem, the final fleet assignment is determined by the accepted bookings. The objective is to develop a policy for acceptance/rejection of booking requests to maximize the total expected revenue less operational cost. This paper simultaneously makes optimal dynamic yield management and fleet assignment decisions. In addition, it investigates a special popular practical instance in North America in which the a priori fleet assignment imbeds aircraft swap opportunities. An approximate dynamic method is specially proposed for it, and numerical results demonstrate its strong applicability.

Suggested Citation

  • Wang, Xiubin & Meng, Qiang, 2008. "Continuous-time dynamic network yield management with demand driven dispatch in the airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1052-1073, November.
    • Handle: RePEc:eee:transe:v:44:y:2008:i:6:p:1052-1073
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    Citations

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    Cited by:

    1. 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.
    2. Asadi, Amin & Nurre Pinkley, Sarah, 2021. "A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Ben Vinod, 2016. "Evolution of yield management in travel," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 203-211, July.

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