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Online Joint Pricing and Booking Policies in Airline Revenue Management

  • Conference paper
Combinatorial Optimization and Applications (COCOA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7402))

Abstract

We introduce a model considering the single-leg revenue management problem from the perspective of online algorithms and competitive analysis. In this model, the price and limitation of bookings are both decision variables. Assuming the process of the customers meets the low-before-high manner and the expected value of customer falls in a closed interval, we analyze the upper bound for deterministic online joint pricing and booking policy and propose one optimal policy for each case.

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References

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Author information

Authors and Affiliations

  1. School of Management, Xi’an Jiaotong University, Xi’an, 710049, China

    Guanqun Ni & Yinfeng Xu

  2. State Key Lab for Manufacturing Systems Engineering, Xi’an, 710049, China

    Guanqun Ni & Yinfeng Xu

  3. Ministry of Education Key Lab for Process Control & Efficiency Engineering, Xi’an, 710049, China

    Guanqun Ni & Yinfeng Xu

Authors
  1. Guanqun Ni
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  2. Yinfeng Xu
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Editor information

Editors and Affiliations

  1. Department of Computing Science, University of Alberta, T6G 2E8, Edmonton, Alberta, Canada

    Guohui Lin

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ni, G., Xu, Y. (2012). Online Joint Pricing and Booking Policies in Airline Revenue Management. In: Lin, G. (eds) Combinatorial Optimization and Applications. COCOA 2012. Lecture Notes in Computer Science, vol 7402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31770-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-31770-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31769-9

  • Online ISBN: 978-3-642-31770-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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