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Revenue management for broadcasting commercials: the channel's problem of selecting and scheduling the advertisements to be aired

Author

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  • Alf Kimms
  • Michael Muller-Bungart

Abstract

We describe a planning problem at a broadcasting company (e.g. a TV or radio channel). Advertisers place orders for commercials. Typically, each order consists of multiple spots, and the airdates of the spots are not fixed by the advertiser. Therefore, the channel has to decide simultaneously which orders to accept or to reject and when spots from accepted orders should be scheduled. We formally describe this problem in a mathematical model, present five heuristics, develop a rigorous method to generate a test bed and evaluate the performance of the heuristics on over 10,000 instances of various sizes.

Suggested Citation

  • Alf Kimms & Michael Muller-Bungart, 2007. "Revenue management for broadcasting commercials: the channel's problem of selecting and scheduling the advertisements to be aired," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 1(1), pages 28-44.
    • Handle: RePEc:ids:ijrevm:v:1:y:2007:i:1:p:28-44
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    Citations

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    Cited by:

    1. Victor F. Araman & Ioana Popescu, 2010. "Media Revenue Management with Audience Uncertainty: Balancing Upfront and Spot Market Sales," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 190-212, December.
    2. Gönsch, Jochen & Koch, Sebastian & Steinhardt, Claudius, 2014. "Revenue management with flexible products: The value of flexibility and its incorporation into DLP-based approaches," International Journal of Production Economics, Elsevier, vol. 153(C), pages 280-294.
    3. José Antonio Carbajal & Peter Williams & Andreea Popescu & Wes Chaar, 2019. "Turner Blazes a Trail for Audience Targeting on Television with Operations Research and Advanced Analytics," Interfaces, INFORMS, vol. 49(1), pages 64-89, January.
    4. Dana G. Popescu & Pascale Crama, 2016. "Ad Revenue Optimization in Live Broadcasting," Management Science, INFORMS, vol. 62(4), pages 1145-1164, April.
    5. Shinjini Pandey & Goutam Dutta & Harit Joshi, 2017. "Survey on Revenue Management in Media and Broadcasting," Interfaces, INFORMS, vol. 47(3), pages 195-213, June.
    6. José Antonio Carbajal & Wes Chaar, 2017. "Turner Optimizes the Allocation of Audience Deficiency Units," Interfaces, INFORMS, vol. 47(6), pages 518-536, December.
    7. Hans Buhl & Robert Klein & Johannes Kolb & Andrea Landherr, 2011. "CR 2 M—an approach for capacity control considering long-term effects on the value of a customer for the company," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(2), pages 187-204, December.

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