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A Decision Support System for Scheduling the Canadian Football League

Author

Listed:
  • Kent J. Kostuk

    (Federated Co-operatives Limited, Saskatoon, Saskatchewan S7K 3M9, Canada)

  • Keith A. Willoughby

    (Department of Finance and Management Science, Edwards School of Business, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5A7, Canada)

Abstract

The eight-team Canadian Football League (CFL) features an 18-game regular season played between late June and early November. The regular-season schedule is manually created using an iterative process involving league management, teams, and a television sports broadcaster. We developed a mixed-integer program-driven decision support system that provided league officials with multiple schedule versions relatively quickly. Our approach informed the development of the regular-season schedule by offering league management a neighborhood of potentially solid solutions. We demonstrated the impact of specific schedule requests to decision makers. Such sensitivity analysis was impossible under the previous manual creation method.

Suggested Citation

  • Kent J. Kostuk & Keith A. Willoughby, 2012. "A Decision Support System for Scheduling the Canadian Football League," Interfaces, INFORMS, vol. 42(3), pages 286-295, June.
    • Handle: RePEc:inm:orinte:v:42:y:2012:i:3:p:286-295
    DOI: 10.1287/inte.1110.0561
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    References listed on IDEAS

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    1. G Kendall, 2008. "Scheduling English football fixtures over holiday periods," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 743-755, June.
    2. Guillermo Durán & Mario Guajardo & Jaime Miranda & Denis Sauré & Sebastián Souyris & Andres Weintraub & Rodrigo Wolf, 2007. "Scheduling the Chilean Soccer League by Integer Programming," Interfaces, INFORMS, vol. 37(6), pages 539-552, December.
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    Cited by:

    1. Bruno P. Bruck & Filippo Castegini & Jean-François Cordeau & Manuel Iori & Tommaso Poncemi & Dario Vezzali, 2020. "A Decision Support System for Attended Home Services," Interfaces, INFORMS, vol. 50(2), pages 137-152, March.
    2. Christian Ackermann & Felix Hahne & Julia Rieck, 2022. "Matching and Scheduling of Student-Company-Talks for a University IT-Speed Dating Event," SN Operations Research Forum, Springer, vol. 3(3), pages 1-29, September.
    3. B. Madhu Rao & Petros Xanthopoulos & Qipeng Phil Zheng, 2020. "Case Article—DeLand Crayon Company: An Application of the Traveling Salesman Problem to Production Scheduling with Sequence-Dependent Setup Times," INFORMS Transactions on Education, INFORMS, vol. 20(2), pages 93-98, January.
    4. S. E. Hill, 2022. "In-game win probability models for Canadian football," Journal of Business Analytics, Taylor & Francis Journals, vol. 5(2), pages 164-178, July.
    5. Michael J. Fry & Jeffrey W. Ohlmann, 2012. "Introduction to the Special Issue on Analytics in Sports, Part II: Sports Scheduling Applications," Interfaces, INFORMS, vol. 42(3), pages 229-231, June.
    6. van Doornmalen, Jasper & Hojny, Christopher & Lambers, Roel & Spieksma, Frits C.R., 2023. "Integer programming models for round robin tournaments," European Journal of Operational Research, Elsevier, vol. 310(1), pages 24-33.
    7. Elizabeth L. Bouzarth & Benjamin C. Grannan & John M. Harris & Kevin R. Hutson, 2022. "Scheduling the Valley Baseball League," Interfaces, INFORMS, vol. 52(2), pages 189-197, March.
    8. Dries Goossens & Jeroen Beliën, 2023. "Teaching Integer Programming by Scheduling the Belgian Soccer League," INFORMS Transactions on Education, INFORMS, vol. 23(3), pages 164-172, May.

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