A simulation analysis for the re-solving issue of the network revenue management problem
The classic dynamic programming approach is not applicable to the airline network revenue management (RM) problem of a practical size due to the curse of dimensionality. Many heuristic methods, including the most popular bid-price control approach, generate the approximate control decisions based on...
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Veröffentlicht in: | Journal of air transport management 2014-06, Vol.38, p.36-42 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The classic dynamic programming approach is not applicable to the airline network revenue management (RM) problem of a practical size due to the curse of dimensionality. Many heuristic methods, including the most popular bid-price control approach, generate the approximate control decisions based on various static formulations, which need to be re-solved to take into account the dynamic features of the problem. By a simulation experiment, this study examines the re-solving issue of the bid-price method and tests a new method, the parameterized function approach, in which no problem-resolving is required. Based on the results, the parameterized function approach is found to be a promising alternative. As for the bid-price control approach, a high re-solving frequency is needed for a good result.
•Propose a simulation framework to evaluate the network RM solution algorithms.•Examine the re-solving issue associated with the bid-price control for network RM.•Support the parameterized function method for being an alternative for network RM. |
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ISSN: | 0969-6997 1873-2089 |
DOI: | 10.1016/j.jairtraman.2013.12.016 |