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\iteman{io-port 05727892}
\itemau{Chang, Pei-Chann; Hsieh, Jih-Chang; Yeh, Chia-Hsuan; Liu, Chen-Hao}
\itemti{A case-based seat allocation system for airline revenue management.}
\itemso{Huang, De-Shuang (ed.) et al., Intelligent computing. International conference on intelligent computing, ICIC 2006, Kunming, China, August 16--19, 2006. Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-37271-4/pbk). Lecture Notes in Computer Science 4113, 1003-1011 (2006).}
\itemab
Summary: 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.
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\itemli{doi:10.1007/11816157\_122}
\end