Details of Research Outputs

TitleNetwork Revenue Management with Cancellations and No-Shows
Author (Name in English or Pinyin)
Dai, Jiangang1,2; Kleywegt, Anton J.3; Xiao, Yongbo4
Date Issued2019-02-01
Firstlevel Discipline信息科学与系统科学
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 28 期: 2 页: 292-318
[1] Adelman, D. 2007. Dynamic bid prices in revenue management. Oper. Res. 55(4): 647–661
[2] Bassamboo, A., R. S. Randhawa. 2010. On the accuracy of fluid models for capacity sizing in queueing systems with impatient customers. Oper. Res. 58(5): 1398–1413
[3] Bertsimas, D., S. de Boer. 2005. Simulation-based booking limits for airline revenue management. Oper. Res. 53(1): 90–106
[4] Bertsimas, D., I. Popescu. 2003. Revenue management in a dynamic network environment. Transport. Sci. 37(3): 257–277
[5] Bodily, S. E., P. E. Pfeifer. 1992. Overbooking decision rules. Omega: Int. J. Manage. Sci. 20(1): 129–133
[6] Box, G. E., J. S. Hunter, W. G. Hunter. 2005. Statistics for Experimenters: Design, Innovation, and Discovery, 2nd edn. Wiley-Interscience, New Jersey
[7] Brémaud, P. 1981. Point Processes and Queues: Martingale Dynamics. Springer-Verlag, New York Heidelberg Berlin
[8] Chaneton, J. M., G. Vulcano. 2011. Computing bid prices for revenue management under customer choice behavior. Manuf. Serv. Oper. Manag. 13(4): 452–470
[9] Chatwin, R. E. 1999. Continuous-time airline overbooking with time-dependent fares and refunds. Transport. Sci. 33(2): 182–191
[10] Cooper, W. L. 2002. Asymptotic behavior of an allocation policy for revenue management. Oper. Res. 50(4): 720–727
[11] Davis, J. M., G. Gallego, H. Topaloglu. 2014. Assortment optimization under variants of the nested logit model. Oper. Res. 62(2): 250–273
[12] Ding, W. 2017. Estimation and optimization problems in revenue management with customer choice behavior. Unpublished doctoral dissertation, Georgia Institute of Technology. Atlanta, GA, USA
[13] Dunleavy, H. N. 1995. Airline passenger overbooking. D. Jenkins, ed. The Handbook of Airline Economics. McGraw-Hill, New York, 469–482
[14] Erdelyi, A., H. Topaloglu. 2010. A dynamic programming decomposition method for making overbooking decisions over an airline network. INFORMS J. Comput. 22(3): 443–456
[15] Farias, V. F., B. van Roy. 2007. An approximate dynamic programming approach to network revenue management. Working paper, Electrical Engineering, Stanford University, California, USA
[16] Feldman, J., H. Topaloglu. 2017. Revenue management under the markov chain choice model. Oper. Res. 65(5): 1322–1342
[17] Gallego, G., H. Topaloglu. 2014. Constrained assortment optimization for the nested logit model. Management Sci. 60(10): 2583–2601
[18] Gallego, G., G. J. Van Ryzin. 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci. 40(8): 999–1020
[19] Gallego, G., R. Ratliff, S. Shebalov. 2015. A general attraction model and an efficient formulation for the network revenue management problem. Oper. Res. 63(1): 212–232
[20] Gosavi, A. 2004. A reinforcement learning algorithm based on policy iteration for average reward: empirical results with yield management and convergence analysis. Mach. Learn 55(1): 5–29
[21] Gosavi, A., N. Bandla, T. K. Das. 2002. A reinforcement learning approach to a single leg airline revenue management problem with multiple fare classes and overbooking. IIE Trans. 34(9): 729–742
[22] Gosavi, A., E. Ozkaya, A. F. Kahraman. 2007. Simulation optimization for revenue management of airlines with cancellations and overbooking. OR Spectrum 29(1): 21–38
[23] Honhon, D., S. Jonnalagedda, X. A. Pan. 2012. Optimal algorithms for assortment selection under ranking-based consumer choice models. Manuf. Serv. Oper. Manag. 14(2): 279–289
[24] Iglehart, D. L. 1965. Limiting diffusion approximations for the many server queue and the repairman problem. J. Appl. Probab. 2(2): 429–441
[25] Jasin, S., S. Kumar. 2012. A re-solving heuristic with bounded revenue loss for network revenue management with customer choice. Math. Oper. Res. 37(2): 313–345
[26] Karaesmen I., G. J. van Ryzin. 2004. Overbooking with substitutable inventory classes. Oper. Res. 52(1): 83–104
[27] Karlin, S., J. L. McGregor. 1958. Many server queueing processes with Poisson input and exponential service times. Pac. J. Math. 8(1): 87–118
[28] Kunnumkal, S., H. Topaloglu. 2008. A tractable revenue management model for capacity allocation and overbooking over an airline network. Flex. Serv. Manuf. J. 20: 125–147
[29] Kunnumkal, S., H. Topaloglu. 2010. A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior. Prod. Oper. Manag. 19(5): 575–590
[30] Kunnumkal, S., K. Talluri, H. Topaloglu. 2012. A randomized linear programming method for network revenue management with product-specific no-shows. Transport. Sci. 46(1): 90–108
[31] Liu, Q., G. J. van Ryzin. 2008. On the choice-based linear programming model for network revenue management. Manuf. Serv. Oper. Manag. 10(2): 288–310
[32] Maglaras, C., J. Meissner. 2006. Dynamic pricing strategies for multiproduct revenue management problems. Manuf. Serv. Oper. Manag. 8(2): 136–148
[33] Mandelbaum, A., W. A. Massey, M. I. Reiman. 1998. Strong approximations for Markovian service networks. Queueing Syst. 30(1-2): 149–201
[34] Meissner, J., A. Strauss. 2012. Network revenue management with inventory-sensitive bid prices and customer choice. Eur. J. Oper. Res. 216(2): 459–468
[35] Pang, G. D., R. Talreja, W. Whitt. 2007. Martingale proofs of many-server heavy-traffic limits for Markovian queues. Probab. Surv. 4: 193–267
[36] Reiman, M. I., Q. Wang. 2008. An asymptotically optimal policy for a quantity-based network revenue management problem. Math. Oper. Res. 33(2): 257–282
[37] Rothstein, M. 1971. Airline overbooking: the state of the art. J. Transp. Econ. Policy 5(1): 96–99
[38] Rothstein, M. 1985. OR and the airline overbooking problem. Oper. Res. 33(2): 237–248
[39] Rusmevichientong, P., H. Topaloglu. 2012. Robust assortment optimization in revenue management under the multinomial logit choice model. Oper. Res. 60(4): 865–882
[40] Rusmevichientong, P., Z. J. Shen, D. B. Shmoys. 2010. Dynamic assortment optimization with a multinomial logit choice model and capacity constraint. Oper. Res. 58(6): 1666–1680
[41] Rusmevichientong, P., D. Shmoys, C. Tong, H. Topaloglu. 2014. Assortment optimization under the multinomial logit model with random choice parameters. Prod. Oper. Manag. 23(11): 2023–2039
[42] Subramanian, J., S. Stidham, C. J. Lautenbacher. 1999. Airline yield management with overbooking, cancellations, and no-shows. Transport. Sci. 33(2): 147–167
[43] Talluri, K. T., G. J. van Ryzin. 2004. The Theory and Practice of Revenue Management. Kluwer Academic Publishers, New York
[44] Vossen, T., D. Zhang. 2015a. Reductions of approximate linear programs for network revenue management. Oper. Res. 63(6): 1352–1371
[45] Vossen, T., D. Zhang. 2015b. A dynamic disaggregation approach to approximate linear programs for network revenue management. Prod. Oper. Manag. 24(3): 469–487
[46] WSJ. 2010. Auctions for overbooking: a better idea than airline bumping. The Wall Street Journal, June 8, 2010
[47] Zhang, D. 2011. An improved dynamic programming decomposition approach for network revenue management. Manuf. Serv. Oper. Manag. 13(1): 35–52
[48] Zhang, D., D. Adelman. 2009. An approximate dynamic programming approach to network revenue management with customer choice. Transport. Sci. 43(3): 381–394
[49] Zhang, H., P. Rusmevichientong, H. Topaloglu. 2017. Assortment optimization under the paired combinatorial logit model. Working paper, Marshall School of Business, University of Southern California, Los Angeles, CA
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionSchool of Data Science
Corresponding AuthorXiao, Yongbo
1.Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY 14853 USA
2.Chinese Univ Hong Kong , Inst Data & Decis Analyt, 2001 Longxiang Blvd Longgang Dist, Shenzhen 518172, Peoples R China
3.Georgia Inst Technol, H Milton Stewart Sch ISyE, 755 Ferst Dr, Atlanta, GA 30332 USA
4.Tsinghua Univ, Sch Econ & Management, Res Ctr Contemporary Management, Beijing 100084, Peoples R China
Recommended Citation
GB/T 7714
Dai, Jiangang,Kleywegt, Anton J.,Xiao, Yongbo. Network Revenue Management with Cancellations and No-Shows[J]. PRODUCTION AND OPERATIONS MANAGEMENT,2019.
APA Dai, Jiangang, Kleywegt, Anton J., & Xiao, Yongbo. (2019). Network Revenue Management with Cancellations and No-Shows. PRODUCTION AND OPERATIONS MANAGEMENT.
MLA Dai, Jiangang,et al."Network Revenue Management with Cancellations and No-Shows".PRODUCTION AND OPERATIONS MANAGEMENT (2019).
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Dai, Jiangang]'s Articles
[Kleywegt, Anton J.]'s Articles
[Xiao, Yongbo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Dai, Jiangang]'s Articles
[Kleywegt, Anton J.]'s Articles
[Xiao, Yongbo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Dai, Jiangang]'s Articles
[Kleywegt, Anton J.]'s Articles
[Xiao, Yongbo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.