Dynamic cruise ship revenue management

European Journal of Operational Research

Volumn 207, Issue 1, 2010, Pages 445-455

  Maddah, Bacel ^a   Moussawi Haidar, Lama ^a   El Taha, Muhammad ^b   Rida, Hussein ^a  

^a AMERICAN UNIVERSITY OF BEIRUT   (Lebanon)

^b UNIVERSITY OF SOUTHERN MAINE   (United States)

Author keywords

Cruise ship; Dynamic programming; Markov decision process; Multi dimensional capacity control; Revenue management

Indexed keywords

CAPACITY CONTROL; CRITICAL TIME; CRUISE SHIPS; DISCRETE TIME DYNAMICS; DYNAMIC PROGRAMS; LOWER BOUNDS; MARKOV DECISION PROCESSES; MONOTONICITY; MULTI-DIMENSIONAL STATE; MULTIPLE CAPACITY; MULTIPLE CONSTRAINT; OPPORTUNITY COSTS; OPTIMAL SOLUTIONS; REVENUE MANAGEMENT; SINGLE CONSTRAINT; STOCHASTIC PROCESS; TWO-DIMENSION; UPPER BOUND;

DECISION MAKING; FUZZY CONTROL; LIFEBOATS; MARKOV PROCESSES; OPTIMAL SYSTEMS; OPTIMIZATION; SHIPS;

DYNAMIC PROGRAMMING;

EID: 77953871933     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2010.03.043     Document Type: Article

References (26)

1. Alstrup J., Boas S., Masden O.B.G., Vidal R., and Victor V. Booking policy for flights with two types of passengers. European Journal of Operational Research 27 (1986) 274-288
2. Amaruchkul K., Cooper W.L., and Gupta D. Single-leg air-cargo revenue management. Transportation Science 41 (2007) 457-469
3. Belobaba P.P. Application of a probabilistic decision model to airline seat inventory control. Operations Research 37 (1989) 183-197
4. Biehn N. A cruise ship is not a floating hotel. Journal of Revenue and Pricing Management 5 (2006) 135-142
5. Business Research and Economic Advisors, The Contribution of the North American Cruise Industry to the U.S. Economy in 2006. Available online at .
6. Chatwin R.E. Multiperiod airline overbooking with a single fare class. Operations Research 46 (1998) 805-819
7. Chiang W.C., Chen J.C.H., and Xu X. An overview of research on revenue management: Current issues and future research. International Journal of Revenue Management 1 (2007) 97-128
8. Cruise Lines International Association, The 2006 Overview, Available online at .
9. El-Haber S., and El-Taha M. Dynamic two leg airline seat inventory control with overbooking, cancellations and no-shows. Journal of Revenue and Pricing Management 3 (2004) 142-170
10. Gosavi A., Bandla N., and Das T.K. A reinforcement learning approach to a single-leg airline revenue management problem with multiple fare classes and overbooking. IIE Transactions 34 (2002) 729-742
11. Gosavi A. A reinforcement learning algorithm based on policy iteration for average reward: Empirical results with yield management and convergence analysis. Machine Learning 55 (2004) 5-29
12. Hoseason J. Capacity management in the cruise industry. In: Ingold A., Yeoman I., and McMahon-Beattie U. (Eds). Yield Management: Strategies for the Service Industries. second ed. (2000), Thomson, London
13. Ji L., and Mazzarella J. Application of modified nested and dynamic class allocation models for cruise line revenue management. Journal of Revenue and Pricing Management 6 (2007) 19-32
14. I. Karaesmen. Three essays on revenue management, Ph.D. Thesis, Columbia University, 2001.
15. Kasilingam R.G. Air cargo revenue management: Characteristics and complexities. European Journal of Operational Research 96 (1996) 36-44
16. Lautenbacher C.J., and Stidham S. The underlying Markov decision process in the single-leg airline yields management problem. Transportation science 33 (1999) 136-146
17. Lee T.C., and Hersh M. A model for dynamic airline seat inventory control with multiple seat bookings. Transportation science 27 (1993) 252-265
18. Y. Levin, M. Nediak, H. Topaloglu, Cargo capacity management with allotments and spot market demand, Working paper, Queen's University, 2008.
19. McGill J.I., and van Ryzin G.J. Revenue management: Research overview and prospects. Transportation Science 33 (1999) 233-256
20. B. Maddah, L. Moussawi, M. El-Taha, H. Rida, Dynamic Cruise Ship Revenue Management - Unabridged, Working Paper, Engineering Management Program, American University of Beirut, Beirut, Lebanon, 2009. Available online at staff.aub.edu.lb/ ∼ bm05/research/cruise-full.pdf.
21. L. Moussawi, M. Çakanyildirim, Profit maximization in air-cargo overbooking, Working Paper, School of Management, University of Texas at Dallas, 2006.
22. Phillips R. Pricing and Revenue Optimization (2005), Stanford University Press
23. Ross S.M. Introduction to Probability Models. eighth ed. (2003), Academic Press, Amesterdam
24. Subramanian J., Lautenbacher C.J., and Stidham S. Airline yield management with overbooking, cancellations and no-shows. Transportation science 33 (1999) 147-167
25. Talluri K.T., and van Ryzin G.J. The Theory and Practice of Revenue Management (2005), Springer, New York
26. Weatherford L.R., and Bodily S.E. Taxonomy and research overview of perishable asset revenue management: Yield management, overbooking, and pricing. Operations Research 40 (1992) 831-844