Abstract
We analyse the revenue potential of incorporating passengers' willingness to pay (WTP) into airline overbooking. Today, overbooking models in commercial revenue management systems balance the risk and associated costs of empty seats and denied boardings using constant spoilage costs during the booking period. The paper examines time-dependent spoilage costs as an extension of the static overbooking model. Simulation results with real airline data indicate that considering the dynamics of passengers' WTP in the overbooking decision leads to consistent gains in net revenue.
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References
Beckmann, M. U. (1958) ‘Decision and team problems in airline reservations’, Econometrica, 26, 134–145.
Belobaba, P. (1992) ‘Optimal vs. heuristic methods for nested seat allocation’, Proceedings of the AGIFORS Reservations and Yield Management Study Group, Brussels, Belgium, 28–53.
Bodily, S. E. and Pfeifer, P. E. (1992) ‘Overbooking decision rules’, Omega, 20, 129–133.
Chiang, W. -C., Chen, J. C. H. and Xu, X. (2007) ‘An overview of research on revenue management: current issues and future research’, International Journal of Revenue Management, 1, 1, 97–128.
Dunleavy, H. (1994) ‘Probability density function approach to the determination of overbooking, marginal ODF fares and ODF level passenger unconstraining’, IATA 6th Yield Management Conference, Barcelona.
El-Haber, S. and El-Taha, M. (2004) ‘Dynamic two-leg airline seat inventory control with overbooking, cancellations and no-shows’, Journal of Revenue and Pricing Management, 3, 2, 143–170.
Holm, C. (1995) ‘Airline Overbooking Performance Measurement’, MIT Flight Transportation Laboratory Report R95-6, Cambridge, MA.
McGill, J. I. and van Ryzin, G. J. (1999) ‘Revenue management: Research overview and prospects’, Transportation Science, 33, 233–256.
Netessine, S. and Shumsky, R. (2002) ‘Introduction to the theory and practice of yield management’, INFORMS Transactions on Education, 3, 1, 34–44.
Ratliff, R. M. (1998) ‘Ideas on overbooking’, Presentation at AGIFORS Reservation and Yield Management Study Group Meeting, Melbourne, Australia.
Subramanian, J., Stidham, S. and Lautenbacher, C. (1999) ‘Airline yield management with overbooking, cancellations, and no-shows’, Transportation Science, 33, 2, 147–167.
Talluri, K. T. and van Ryzin, G. J. (2004) The Theory and Practice of Revenue Management, Kluwer Academic Publisher, Norwell, MA.
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1 Richard Klophaus is Professor of Business Management, Transportation and Logistics at the Trier University of Applied Sciences. He is also executive member of the managing board of the Centre for Aviation Law and Business serving as a consultant for both government and the aviation industry. He holds a PhD in Economics from the University of Mannheim, Germany.
2 Stefan Pölt is a senior manager at Lufthansa German Airlines in the network management IT department. He joined Lufthansa in 1995 and is now responsible for the revenue management and pricing tools. He holds a PhD in Computer Science from the University of Dortmund, Germany. He is recognised as an expert in forecasting and revenue management methods and has given presentations at several AGIFORS Conferences.
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Klophaus, R., Pölt, S. Airline overbooking with dynamic spoilage costs. J Revenue Pricing Manag 6, 9–18 (2007). https://doi.org/10.1057/palgrave.rpm.5160059
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DOI: https://doi.org/10.1057/palgrave.rpm.5160059