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Pricing Structure Optimization in mixed restricted/unrestricted Fare Environments

Author

Listed:
  • Joern Meissner

    (Department of Management Science, Lancaster University Management School)

  • Arne Strauss

    (Department of Management Science, Lancaster University Management School)

Abstract

In recent years, many traditional practitioners of revenue management such as airlines or hotels were confronted with aggressive low-cost competition. In order to stay competitive, these firms responded by reducing fare restrictions that were originally meant to fence off customer segments. In markets where traditional practitioners faced low-cost competition, unrestricted fares were introduced. Some markets, including airline long-haul markets, were unaffected. And here restrictions could be maintained. We develop choice-based network revenue management approaches for such a mixed fare environment that can handle both the traditional opening or closing of restricted fare classes as well as handling pricing of the unrestricted fares simultaneously. Due to technical constraints of the reservation system, we have a limit on the number of price points for each unrestricted fare. It is natural to ask then how these price points shall be chosen. To that end, we formulate the problem as a dynamic program and approximate it with a mixed integer linear program (MIP) that selects the best price points out of a potentially large set of price candidates for each unrestricted fare. Numerical experiments illustrate the quality of the obtained price structure and that computational effort is relatively low given that we need to tackle the large-scale MIP with column generation techniques.

Suggested Citation

  • Joern Meissner & Arne Strauss, 2009. "Pricing Structure Optimization in mixed restricted/unrestricted Fare Environments," Working Papers MRG/0014, Department of Management Science, Lancaster University, revised Mar 2010.
  • Handle: RePEc:lms:mansci:mrg-0014
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    Cited by:

    1. Emmanuel Fragnière & Angela Lombardi & Francesco Moresino, 2012. "Designing and Pricing Services Based on Customer-Perceived Value: An Airline Company Feasibility Study," Service Science, INFORMS, vol. 4(4), pages 320-330, December.

    More about this item

    Keywords

    revenue management; restriction-free pricing; network; pricing structure;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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