Mathematical programming models for revenue management under customer choice
AbstractWe study a network airline revenue management problem with discrete customer choice behavior. We discuss a choice model based on the concept of preference orders, in which customers can be grouped according to a list of options in decreasing order of preference. If a customer's preferred option is not available, the customer moves to the next choice on the list with some probability. If that option is not available, the customer moves to the third choice on the list with some probability, and so forth until either the customer has no other choice but to leave or his/her request is accepted. Using this choice model as an input, we propose some mathematical programs to determine seat allocations. We also propose a post-optimization heuristic to refine the allocation suggested by the optimization model. Simulation results are presented to illustrate the effectiveness of our method, including comparisons with other models.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 203 (2010)
Issue (Month): 2 (June)
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Discrete choice Revenue management Preference order;
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- Joern Meissner & Arne Strauss, 2008.
"Network Revenue Management with Inventory-Sensitive Bid Prices and Customer Choice,"
MRG/0008, Department of Management Science, Lancaster University, revised Apr 2010.
- Meissner, Joern & Strauss, Arne, 2012. "Network revenue management with inventory-sensitive bid prices and customer choice," European Journal of Operational Research, Elsevier, vol. 216(2), pages 459-468.
- Joern Meissner & Arne Strauss, 2010.
"Improved Bid Prices for Choice-Based Network Revenue Management,"
MRG/0016, Department of Management Science, Lancaster University, revised Jan 2010.
- Meissner, Joern & Strauss, Arne, 2012. "Improved bid prices for choice-based network revenue management," European Journal of Operational Research, Elsevier, vol. 217(2), pages 417-427.
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