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Scheduling advertising slots for television

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  • M J Brusco

    (Florida State University)

Abstract

The ISCI (Industry Standard Commercial Identification) rotator problem requires the assignment of a set of commercial videotapes to slots such that multiple airings of each tape in the set are as equally spaced as possible with respect to an L1 loss function. The contributions of this research paper are threefold. First, an enhanced branch-and-bound algorithm is presented and shown to produce optimal solutions for each of several problems that were not computationally feasible for a previously developed branch-and-bound implementation. Second, a fast simulated annealing heuristic is developed for larger problems. This heuristic has established new benchmark (best-known) solutions for 16 large ISCI rotator problems from a recently published test suite. Third, we consider alternative loss function metrics, and have found that a branch-and-bound algorithm for the L∞ algorithm is especially scalable.

Suggested Citation

  • M J Brusco, 2008. "Scheduling advertising slots for television," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1363-1372, October.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:10:d:10.1057_palgrave.jors.2602481
    DOI: 10.1057/palgrave.jors.2602481
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    References listed on IDEAS

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    1. Srinivas K. Reddy & Jay E. Aronson & Antonie Stam, 1998. "SPOT: Scheduling Programs Optimally for Television," Management Science, INFORMS, vol. 44(1), pages 83-102, January.
    2. John Miltenburg, 1989. "Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Production Systems," Management Science, INFORMS, vol. 35(2), pages 192-207, February.
    3. Srinivas Bollapragada & Michael R. Bussieck & Suman Mallik, 2004. "Scheduling Commercial Videotapes in Broadcast Television," Operations Research, INFORMS, vol. 52(5), pages 679-689, October.
    4. Jeffrey H. Horen, 1980. "Scheduling of Network Television Programs," Management Science, INFORMS, vol. 26(4), pages 354-370, April.
    5. Kelton, Christina M. L. & Schneider Stone, Linda G., 1998. "Optimal television schedules in alternative competitive environments," European Journal of Operational Research, Elsevier, vol. 104(3), pages 451-473, February.
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    Cited by:

    1. García-Villoria, Alberto & Pastor, Rafael, 2010. "Solving the response time variability problem by means of a genetic algorithm," European Journal of Operational Research, Elsevier, vol. 202(2), pages 320-327, April.
    2. Giovanni Giallombardo & Giovanna Miglionico & Houyuan Jiang, 2015. "New Reformulations for the Conflict Resolution Problem in the Scheduling of Television Commercials," Working Papers 2015/03, Cambridge Judge Business School, University of Cambridge.
    3. Albert Corominas & Alberto García-Villoria & Rafael Pastor, 2013. "Metaheuristic algorithms hybridised with variable neighbourhood search for solving the response time variability problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 296-312, July.
    4. Giovanni Giallombardo & Houyuan Jiang & Giovanna Miglionico, 2016. "New Formulations for the Conflict Resolution Problem in the Scheduling of Television Commercials," Operations Research, INFORMS, vol. 64(4), pages 838-848, August.
    5. Corominas, Albert & Kubiak, Wieslaw & Pastor, Rafael, 2010. "Mathematical programming modeling of the Response Time Variability Problem," European Journal of Operational Research, Elsevier, vol. 200(2), pages 347-357, January.
    6. 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.
    7. García-Villoria, Alberto & Salhi, Said & Corominas, Albert & Pastor, Rafael, 2011. "Hyper-heuristic approaches for the response time variability problem," European Journal of Operational Research, Elsevier, vol. 211(1), pages 160-169, May.
    8. Shinjini Pandey & Goutam Dutta & Harit Joshi, 2017. "Survey on Revenue Management in Media and Broadcasting," Interfaces, INFORMS, vol. 47(3), pages 195-213, June.
    9. José Antonio Carbajal & Wes Chaar, 2017. "Turner Optimizes the Allocation of Audience Deficiency Units," Interfaces, INFORMS, vol. 47(6), pages 518-536, December.

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