Standard
Exogenous Capacity Changes in Airline Revenue Management: Quantifying the Value of Information. / Kadatz, Daniel; Kliewer, Natalia
; Cleophas, Catherine.
Operations Research Proceedings 2016: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016. ed. / Andreas Fink; Armin Fügenschuh; Martin Joseph Geiger. Cham: Springer, 2017. p. 429-434.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Kadatz, D, Kliewer, N
& Cleophas, C 2017,
Exogenous Capacity Changes in Airline Revenue Management: Quantifying the Value of Information. in A Fink, A Fügenschuh & MJ Geiger (eds),
Operations Research Proceedings 2016: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016. Springer, Cham, pp. 429-434.
https://doi.org/10.1007/978-3-319-55702-1_57APA
Kadatz, D., Kliewer, N.
, & Cleophas, C. (2017).
Exogenous Capacity Changes in Airline Revenue Management: Quantifying the Value of Information. In A. Fink, A. Fügenschuh, & M. J. Geiger (Eds.),
Operations Research Proceedings 2016: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016 (pp. 429-434). Springer.
https://doi.org/10.1007/978-3-319-55702-1_57Vancouver
Kadatz D, Kliewer N
, Cleophas C.
Exogenous Capacity Changes in Airline Revenue Management: Quantifying the Value of Information. In Fink A, Fügenschuh A, Geiger MJ, editors, Operations Research Proceedings 2016: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016. Cham: Springer. 2017. p. 429-434 Epub 2017 Jul 21. doi: 10.1007/978-3-319-55702-1_57
Author
Bibtex
@inproceedings{b5037b6e79ee4b1aa918fe3ff55f664b,
title = "Exogenous Capacity Changes in Airline Revenue Management: Quantifying the Value of Information",
abstract = "In airline revenue management, capacity is usually assumed to be fixed. However, capacity changes are common in practice. This contribution quantifies the value of information when systematically considering possible capacity changes in revenue optimization. It solves a stochastic model that anticipates capacity changes, given different levels of information. A computational study compares solution approaches with respect to the resulting revenue, seat load factor, and denied boarding.",
author = "Daniel Kadatz and Natalia Kliewer and Catherine Cleophas",
year = "2017",
doi = "10.1007/978-3-319-55702-1_57",
language = "English",
isbn = "9783319557014",
pages = "429--434",
editor = "Andreas Fink and Armin F{\"u}genschuh and Geiger, {Martin Joseph}",
booktitle = "Operations Research Proceedings 2016",
publisher = "Springer",
}
RIS
TY - GEN
T1 - Exogenous Capacity Changes in Airline Revenue Management
T2 - Quantifying the Value of Information
AU - Kadatz, Daniel
AU - Kliewer, Natalia
AU - Cleophas, Catherine
PY - 2017
Y1 - 2017
N2 - In airline revenue management, capacity is usually assumed to be fixed. However, capacity changes are common in practice. This contribution quantifies the value of information when systematically considering possible capacity changes in revenue optimization. It solves a stochastic model that anticipates capacity changes, given different levels of information. A computational study compares solution approaches with respect to the resulting revenue, seat load factor, and denied boarding.
AB - In airline revenue management, capacity is usually assumed to be fixed. However, capacity changes are common in practice. This contribution quantifies the value of information when systematically considering possible capacity changes in revenue optimization. It solves a stochastic model that anticipates capacity changes, given different levels of information. A computational study compares solution approaches with respect to the resulting revenue, seat load factor, and denied boarding.
U2 - 10.1007/978-3-319-55702-1_57
DO - 10.1007/978-3-319-55702-1_57
M3 - Conference contribution/Paper
SN - 9783319557014
SP - 429
EP - 434
BT - Operations Research Proceedings 2016
A2 - Fink, Andreas
A2 - Fügenschuh, Armin
A2 - Geiger, Martin Joseph
PB - Springer
CY - Cham
ER -
