Airline companies usually implement revenue management to increase profits. The revenue management can be performed through seat inventory management. The current system to book seats is first-come first-served. This approach tends to sell low-price seats because low-price requests often appear earlier. It also results in low revenue. In this paper, an expected dynamic probability method and a case-based seat allocation system are proposed to enhance the performance of the seat inventory management. Extensive studies are conducted to compare the performance of first-come first-served method, expected dynamic probability method, and case-based decision support system. The result indicates that the case-based seat allocation system outperforms the other methods. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Chang, P. C., Hsieh, J. C., Yeh, C. H., & Liu, C. H. (2006). A case-based seat allocation system for airline revenue management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4113 LNCS-I, pp. 1003–1011). Springer Verlag. https://doi.org/10.1007/11816157_122
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