DOI QR코드

DOI QR Code

Optimal Dual Pricing and Passenger Safety Level for Cruise Revenue Management

  • Cho, Seong-Cheol (Division of Shipping Management, Korea Maritime and Ocean University) ;
  • Zhang, Mengfei (Gradual School of Korea Maritime and Ocean University)
  • Received : 2017.03.08
  • Accepted : 2017.04.18
  • Published : 2017.04.30

Abstract

Despite the remarkable continual growth of the world cruise industry, studies have yet to be attempted on many revenue management problems in cruise operations. This paper suggests two schemes that can be easily applied to cruise revenue management: optimal dual pricing and passenger safety level. In optimal dual pricing, a pair of higher and lower prices is applied to cabin reservation through market segmentation. This scheme can be executed with a linear price-response function for the current unreserved cabins. A cruise line could benefit from this scheme to maximize reservation revenue while attaining full occupancy. The dual pricing scheme is also devised to produce only integer demands to suit real management practices. The life boat capacity is an additional service capacity unique to the cruise industry, catering to passengers' safety. The concept of passenger safety level is defined and computed for any passenger life boat capacity of a cruise ship. It can be used to evaluate the passenger safety of a cruise ship in operation, as well as to determine the number of life boat seats required for a new cruise ship. Hypothetical examples are used to illustrate the operation of these two schemes.

Keywords

References

  1. Biehn, N.(2006), "A Cruise Ship Is Not a Floating Hotel", Journal of Revenue and Pricing Management, Vol. 5, pp. 135-142. https://doi.org/10.1057/palgrave.rpm.5160034
  2. Chiang, W.-C., Chen, J. C. H. and Xu, X.(2007), "An Overview of Research and Revenue Management: Current Issues and Future Research", International Journal of Revenue Management, Vol. 1, No. 1, pp. 97-128. https://doi.org/10.1504/IJRM.2007.011196
  3. Cho, S.-C., Won, Y. and Kim, J. H.(2012), "A Network Optimization Model for Strategic Itinerary Planning of Cruise Fleet", Journal of Navigation and Port Research, Vol.36, No. 1, pp. 51-58. https://doi.org/10.5394/KINPR.2012.36.1.51
  4. Cruise Market Watch (2017), Growth of the Cruise Line Industry, http://www.cruisemarketwatch.com/growth
  5. Fitzsimmons, J. A., Fitzsimmons, M. J. and Bardoloi, S. K.(2014), Service Management: Operations, Strategy, Information Technology, McGraw-Hill, p. 10.
  6. Gibson, P.(2012), Cruise Operations Management: Hospitality Perspectives, Routledge, pp. 228-249.
  7. Hogg, R. V. and Craig, A. T.(1978), Introduction to Mathematical Statistics, Macmillan Publishing Co., Inc., pp. 192-196.
  8. Ladany, S. P. and Arbel, A.(1991), "Optimal Cruise-Liner Passenger Cabin Pricing Policy", European Journal of Operational Research, Vol. 55, pp. 136-147. https://doi.org/10.1016/0377-2217(91)90219-L
  9. Lieberman, W. H.(2012), "Pricing in the Cruise Line Industry", The Oxford Handbook of Pricing Management, Oxford University Press, pp. 199-216.
  10. Maddah, B., Mussawi-Haidar, L., El-Taha, M. and Rida, H.(2010), "Dynamic Cruise Ship Revenue Management", European Journal of Operational Research, Vol. 207, pp. 445-455. https://doi.org/10.1016/j.ejor.2010.03.043
  11. Phillips, R. L.(2005), Pricing and Revenue Optimization, Stanford University Press, pp. 38-40.
  12. P&O Cruises(2017), How many life boats does the ship have?, https://ask.pocruises.com/help/PO/fleet/life_boats
  13. Sun, X., Jiao, Y. and Tian, P.(2011), "Marketing Research and Revenue Optimization for the Cruise Industry: A Concise Review", International Journal of Hospitality Management, Vol. 30, pp. 746-755. https://doi.org/10.1016/j.ijhm.2010.11.007
  14. Talluri, K. T. and van Ryzin, G. J.(2005), The Theory and Practice of Revenue Management, Springer, pp. 560-561.