REVENUE MANAGEMENT MODEL BASED ON CAPACITY SHARING AND OVERBOOKING IN THE AIRLINE

Oki Anita Candra Dewi

Abstract


Aviation industry often faced uncertainty demand and high level of cancellation. Revenue management in the airline is related to demand management policies to classify and estimate the various requests of pricing and capacity control. This study will develop airline revenue management model integrates luggage passengers with air cargo based on the control of air cargo space. The airline must pay attention to customer behavior due to high cancellation and no-show. In this case we deal with the aspect of the overbooking in which one of the ways to reduce the cost of spoilage due to cancellation or no show. Moreover, in this proposed model, we discuss the expected revenue function to maximize the expected revenue from the policies of accept or reject the booking requests between passengers and air cargo by the same airline. This study aims to develop expected revenue in the dynamic programming model in order to maximize the revenue expectations of the policy of accepting and rejecting booking request between passengers with air cargo in the same airline.

Keywords


revenue management; customer behavior; aviation industry

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References


] Luo Li & Ji-Hua, P. Dynamic Pricing Model for Airline Revenue Management Under Competition. Systems Engineering - Theory & Practice, Vol 27, 11. 2007.

] Dewi, Oki AC., Nurminarsih, Siti., Narulidea, Winda., Rusdiansyah, Ahmad. Revenue Management Model for Integration of Air Cargo and Passenger with Overbooking Consideration. Proceedings of the International Conference of Logistics and Supply Chain Management System. 2016.

] Beckmann, Martin J. Decision and Team Problems in Airline Reservations. Econometrica.134–145. 1958.

] Thompson, H.R. Statistical Problems in Airline Reservation Control. Operations Research Quarterly. 167-185. 1961.

] Coughlan, J. Airline overbooking in the multi class case. Journal of the Operational Research Society. 50. 1999.

] Lee, T. C. & Hersh, M. A Model for dynamic airline seat inventory control with multiple seat bookings. transportation science, 27(3) 252-265. 1993.

] Karaesmen, I., and Van Ryzin, G. Overbooking with suitable inventory classes. Operation Research, 52, 83-104. 2004.

] Beckmann, Martin J. Decision and Team Problems in Airline Reservations. Econometrica.134–145. 1958.

] Thompson, H.R. Statistical Problems in Airline Reservation Control. Operations Research Quarterly. 167-185. 1961.

] Coughlan, J. Airline overbooking in the multi class case. Journal of the Operational Research Society. 50. 1999.

] Subramanian, J., Stidham, J. R. & Lauthenbacker, C. J. Airline yield management with overbooking, cancellation, and no show. transportation science, vol. 33 no. 2. 1999.

] Lee, T. C. & Hersh, M. A Model for dynamic airline seat inventory control with multiple seat bookings. transportation science, 27(3) 252-265. 1993.

] Subramanian, J., Stidham, J. R. & Lauthenbacker, C. J. Airline yield management with overbooking, cancellation, and no show. transportation science, vol. 33 no. 2. 1999.

] Feng, Y. & Xiao, B. Maximizing revenues of perishable assets with a risk factor. Operations Research, 47(2) 337–341. 1999.

] Heinitz, F., Hirschberger, M., & Werstat, C. The role of road transport in scheduled air cargo networks. Procedia-Social and Behavioral Sciences. 104,1198-1207. 2013.

] Huang, Kuancheng & Lu, Heng. A linear programming-based method for the network revenue management problem of air cargo. Transportation Research Procedia 7, 459-473. 2015.

] Yamaguchi, K., International trade and air cargo: Analysis of US export and air transport policy. Transportation Research Part E 44, 555-575. 2008.

] Boeing, Boeing 2010-2011 World Air Cargo Forecast.http://www.boeing.com/commercial/cargo/wacf.pdf. Cross, R.G. 1997. Revenue Management: Hard-core Tactics for Market Domination. New York: Broadway Books. 2010.

] Huang, Kuancheng & Lu, Heng. A linear programming-based method for the network revenue management problem of air cargo. Transportation Research Procedia 7, 459-473. 2015.

] Amaruchkul, K., Cooper, W.L. and Gupta, D., Single-leg air-cargo revenue management. Transportation Science 41: 457–469. 2007.

] Huang, K., Chang, K. An approximate algorithm fot the two-dimensional air cargo revenue management problem. Journal of Air Transport Management, 38, 36-42. 2010.

] Han, D.L., Tang, L.C., Huang, H.C., A Markov model for single-leg air cargo revenue management under a bid-price policy. European Journal of Operational Research 200, 800-811. 2010.

] Hoffmann, R., Dynamic capacity control in cargo revenue management - A new heuristic for solving the single-leg problem efficiently. Journal of Revenue and Pricing Management 12, 46-59. 2013a.

] Zhuang, W., Gumus, M., Zhang, D., A single-resource revenue management problem with random resource consumptions. Journal of the Operational Research Society 63, 1213-1227. 2012.

] Becker, B., Dill, N., Managing the complexity of air cargo revenue management. Journal of Revenue and Pricing Management 6, 175-187. 2007.

] Amaruchkul, K., Cooper, W.L. and Gupta, D., Single-leg air-cargo revenue management. Transportation Science 41: 457–469. 2007.

] Becker, B., Kasilingam, R., Success factors for the implementation of air cargo revenue management solutions. International Journal of Revenue Management 2, 254-271. 2008.

] Becker, B., Wald, A., Challenges and success factors of air cargo revenue management. Journal of Revenue & Pricing Management 9, 171-184. 2010.

] Kasilingam, R., Revenue management and air cargo, in “Revenue management: A practical pricing perspective”. In: Yeoman, I. And McMahon-Beattie, U. (Ed.). Palgrave Macmillan, Basingstoke. 2011.

] Bilings, J.S., Diener, A.G., Yuen, B.B., Cargo revenue optimization. Journal of Revenue and Pricing Management 2, 69-79. 2003.

] Slager, B., Kapteijns, L., Implementation of cargo revenue management at KLM. Journal of Revenue and Pricing Management 3, 80-90. 2004.

] Kasilingam, R.G., Air cargo revenue management: Characteristics and complexities. European Journal of Operational Research 96, 36-44. 1997.

] Levin, Y., Nediak, M., Topaloglu, H., Cargo capacity management with allotments and spot market demand. Operations Research 60, 351-365. 2012.

] Luo, S., Cakanyildirim, M., Kasilingam, R.G., Two-dimensional cargo overbooking models. European Journal of Operational Research 197, 862-883. 2009.

] Haidar. L.M. and Metin Cakanyildirim. Optimal overbooking limits of a two-dimensional cargo problem: a profit maximation approach. Journal of Revenue and Pricing Management. 2011.

] Luo, S., Cakanyildirim, M., Kasilingam, R.G., Two-dimensional cargo overbooking models. European Journal of Operational Research 197, 862-883. 2009.

] Subramanian, J., Stidham, J. R. & Lauthenbacker, C. J. Airline yield management with overbooking, cancellation, and no show. transportation science, vol. 33 no. 2. 1999.

] Huang, K., Chang, K. An approximate algorithm fot the two-dimensional air cargo revenue management problem. Journal of Air Transport Management, 38, 36-42. 2010.




DOI: https://doi.org/10.21776/ub.jemis.2018.006.02.3

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