[1] |
TALLURI K T, RYZI N G J. The Theory and Practice of Revenue Management[M]. Massachusetts: Kluwer Academic Publishers, 2004.
|
[2] |
SECOMANDI N. An analysis of the control-algorithmresol-vingissue in finite-horizon dynamic resource allocation prob-lems[R]. Pittsburgh: Carnegie Mellon University, 2004.
|
[3] |
CHEN Li-jian, HOMEM D M T. Multistage stochastic pro-gramming models for airline revenue management[R]. Evan-ston: Northwestern University, 2004.
|
[4] |
M LLER A, WERNER R, WEBER K. A newapproach to O & amp; amp; D revenue management based on scenario trees[J]. Journal of Revenue and Pricing Management, 2004, 3(3): 265-276. doi: 10.1057/palgrave.rpm.5170113
|
[5] |
COOPER WL, HOMEM D M T. Revenue management using sampling-based opti mization and Markov decision processes[R]. Columbus: Ohio State University, 2002.
|
[6] |
BELOBABA P P. Air travel demand and airline seat inventory management[D]. Cambridge: MIT, 1987.
|
[7] |
SMITHB C, LEI MUKUHLERJ F, DARROWR M. Yield management at American airlines[J]. Interfaces, 1992, 22(1): 8-31. doi: 10.1287/inte.22.1.8
|
[8] |
WILLI AMSON E L. Comparison of opti mization techniques for origin-destination seat inventory control[D]. Cambridge: MIT, 1988.
|
[9] |
CURRY R E. Opti mal airline seat allocation withfare classes nested by origins and destinations[J]. Transportation Sci-ence, 1990, 24(3): 193-204. doi: 10.1287/trsc.24.3.193
|
[10] |
SMITHB C, PENN C W. Analysis of alternative origin-des-tination control strategies[J]. Operations Research, 1988, 40: 26-37.
|
[11] |
BERTSI MAS D J, POPESCUI. Revenue management in a dynamic network environment[J]. Transportation Science, 2003, 37(3): 257-277. doi: 10.1287/trsc.37.3.257.16047
|
[12] |
TALLURI K T, RYZI N G. An analysis of bid-price controls for network revenue management[J]. Management Science, 1998, 44(11): 1577-1593.
|
[13] |
GLOVER F, GLOVER R, LORENZOJ, et al. The passen-ger mix problem in the scheduled airlines[J]. Interfaces, 1982, 12(3): 73-79. doi: 10.1287/inte.12.3.73
|
[14] |
COOPER W L. Asymptotic behavior of an allocation policy for revenue management[J]. Operations Research, 2002, 50(4): 720-727. doi: 10.1287/opre.50.4.720.2855
|
[15] |
TALLURI K T, RYZI N G. A randomized linear program-ming method for computing network bid prices[J]. Trans-portation Science, 1999, 33(2): 207-216. doi: 10.1287/trsc.33.2.207
|
[16] |
CIANCI MINO A, INZERILLO G, LUCIDI S, et al. A mathe-matical programming approach for the solution of the rail way yield management problem[J]. Transportation Science, 1999, 33(2): 168-181. doi: 10.1287/trsc.33.2.168
|
[17] |
BIRGEJ R, LOUVEAUX F. Introduction to Stochastic Pro-gramming[M]. Berlin: Springer-Verlag, 1997.
|
[18] |
樊玮, 陈增强, 袁著祉. 基于遗传算法的座位优化控制模型[J]. 数学的实践与认识, 2004, 34(4): 38-43. https://www.cnki.com.cn/Article/CJFDTOTAL-SSJS200404007.htmFAN Wei, CHEN Zeng-qiang, YUAN Zhu-zhi. Genetic algorithmfor airline seat inventory control[J]. Mathematics in Practice and Theory, 2004, 34(4): 38-43. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SSJS200404007.htm
|
[19] |
高强, 朱金福, 陈可嘉. 航空收益管理中多航段舱位控制模型[J]. 交通运输工程学报, 2005, 5(4): 82-85. doi: 10.3321/j.issn:1671-1637.2005.04.017GAO Qiang, ZHU Jin-fu, CHEN Ke-jia. Multi-leg seat in-ventory control model for airline revenue management[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 82-85. (in Chinese) doi: 10.3321/j.issn:1671-1637.2005.04.017
|
[20] |
WILLI AMSON E L. Airline network seat control[D]. Cam-bridge: MIT, 1992.
|
[21] |
BOER D S, FRELI NG R, PIERSMA N. Mathematical pro-gramming for network revenue management[J]. European Journal of Operations Research, 2002, 137(1): 72-92. doi: 10.1016/S0377-2217(01)00096-0
|
[22] |
COOPER WL, HOMEN D MT. Aclass of hybrid methods for revenue management[R]. Minneapolis: University of Minnesota, 2006.
|
[23] |
CHEN V C P, G NTHER D, JOHNSON E L. Solving for an opti mal airline yield management policy via statistical learning[J]. Journal of the Royal Statistical Society, 2003, 52(1): 19-30.
|
[24] |
G NTHER D. Airline yield management[D]. Atlanta: Georgia Institute of Technology, 1998.
|
[25] |
SIDDAPPAS, G NTHER D, ROSENBERGERJ M, et al. A statistical modeling approach to airline revenue management[R]. Arlington: The University of Texas at Arlington, 2006.
|
[26] |
DEMIGUEL V, MISHRA N. A multistage stochastic pro-gramming approach to network revenue management[R]. London: London Business School, 2006.
|
[27] |
BRATUS. Network value concept in airline revenue manage-ment[D]. Cambridge: MIT, 1999.
|
[28] |
RYZI N G J, VULCANO G. A stochastic subgradient algo-rithmfor network capacity control[R]. New York: Columbia University, 2002.
|
[29] |
BERTSI MAS D J, BOER D S. A stochastic booking li mit policy for airline network revenue management[R]. Cam-bridge: MIT, 2001.
|
[30] |
MAGLARAS C, MEISSNER J. Dynamic pricing strategies for multiproduct revenue management problems[J]. Manu-facturing and Service Operations Management, 2006, 8(2): 136-148. doi: 10.1287/msom.1060.0105
|
[31] |
李晓花, 萧柏春. 航空公司收入管理价格与舱位控制的统一分析[J]. 管理科学学报, 2004, 7(6): 63-69. https://www.cnki.com.cn/Article/CJFDTOTAL-JCYJ200406008.htmLI Xiao-hua, XIAO Bai-chun. Comprehensive analysis of pricing and seat inventory control in airline revenue management[J]. Journal of Management Sciencein China, 2004, 7(6): 63-69. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JCYJ200406008.htm
|