Abstract
In broadcasting advertisements, commercial breaks are offered to heterogeneous clients with uncertain demand. Interested in the efficient utilization of its limited airtime inventory, the TV station has to decide simultaneously which requests to accept or to deny and when ad spots should be scheduled. In addition, there may be clients that have preferences for specific ad slots with cancellation rates depending on provider’s slot assignments. Provoking the abortion of reservations or even relationships with the provider in traditional optimization, we provide a mathematical model considering both combinatorial aspects of the problem and said customer preferences. Furthermore, a simulation is performed in order to test the efficiency of the proposed approach.
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Benoist, T., Gardi, F., Jeanjean, A.: Lessons learned from 15 years of operations research for French TV channel TF1 (to appear in Interfaces).
Bollapragada, S., Cheng, H., Phillips, M., Garbiras, M., Scholes, M., Gibbs, T., Humphreville, M.: NBC’s optimization systems increase revenues and productivity. Interfaces 32(1), 47–60 (2002)
Kimms, A., Müller-Bungart, M.: Revenue Management unter Berücksichtigung des Kundenwahlverhaltens [Revenue management with consideration of customer choice behavior]. Wirtschaftswissenschaftliches Studium 35(8), 434–439 (2006).
Kimms, A., Müller-Bungart, M.: Revenue management for broadcasting commercials: The channel’s problem of selecting and scheduling the advertisements to be aired. Int. J. Revenue Manage. 1(1), 28–44 (2007)
Lindenmeier, J., Tscheulin, D.K.: The effects of inventory control and denied boarding on customer satisfaction. Tourism Manage. 29(1), 32–43 (2008)
Martin, B.: Combinatorial aspects of yield management, a reinforcement learning approach. In: Proceedings of European Simulation and Modelling Conference ESM04 (2004)
Morales, D.R., Wang, J.: Forecasting cancellation rates for services booking revenue management using data mining. Eur. J. Oper. Res. 202(2), 554–562 (2010)
Müller-Bungart, M.: Revenue Management with Flexible Products. Models and Methods for the Broadcasting Industry. Springer, Berlin (2007)
Ng, I.: The Pricing and Revenue Management of Services. A Strategic Approach. Routledge, London (2008)
SevenOne Media: Price index for advertising spots. http://www.sevenonemedia.de/preissystematik Cited 12 June 2012
Shen, Z.-J.M., Su, X.: Customer behavior modeling in revenue management and auctions: A review and new research opportunities. Prod. Oper. Manage. 16(6), 713–728 (2007)
Talluri, K.T., van Ryzin, G.J.: The Theory and Practice of Revenue Management. Kluwer, Boston (2004)
Wirtz, J., Kimes, S.E., Theng, J.H.P., Patterson, P.: Revenue management: Resolving potential customer conflicts. J. Revenue Pricing Manage. 2(3), 216–226 (2003)
ZAW (German Association of the Advertising Industry in Germany): Net revenues of advertising mediums in Germany. http://www.zaw.de/index.php?menuid=33 Cited 12 June 2012
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Mohaupt, M., Hilbert, A. (2014). Advertisement Scheduling-Revenue Management with TV Break Preference-Based Cancellations. In: Helber, S., et al. Operations Research Proceedings 2012. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-00795-3_57
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DOI: https://doi.org/10.1007/978-3-319-00795-3_57
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