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Scheduling the Australian Football League

Author

Listed:
  • Jari Kyngäs

    (Satakunta University of Applied Sciences)

  • Kimmo Nurmi

    (Satakunta University of Applied Sciences)

  • Nico Kyngäs

    (Satakunta University of Applied Sciences)

  • George Lilley

    (Box Hill Senior Secondary College)

  • Thea Salter

    (AFL House)

  • Dries Goossens

    (Ghent University)

Abstract

Generating a schedule for a professional sports league is an extremely demanding task. Good schedules have many benefits for the league, such as higher attendance and TV viewership, lower costs and increased fairness. The Australian Football League is particularly interesting because of an unusual competition format integrating a single round-robin tournament with additional games. Furthermore, several teams have multiple home venues and some venues are shared by multiple teams. This paper presents a 3-phase process to schedule the Australian Football League. The resulting solution outperforms the official schedule with respect to minimizing and balancing travel distance and breaks, while satisfying more requirements.

Suggested Citation

  • Jari Kyngäs & Kimmo Nurmi & Nico Kyngäs & George Lilley & Thea Salter & Dries Goossens, 2017. "Scheduling the Australian Football League," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 973-982, August.
  • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:8:d:10.1057_s41274-016-0145-8
    DOI: 10.1057/s41274-016-0145-8
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    References listed on IDEAS

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    1. Rasmussen, Rasmus V. & Trick, Michael A., 2008. "Round robin scheduling - a survey," European Journal of Operational Research, Elsevier, vol. 188(3), pages 617-636, August.
    2. Urban, Timothy L. & Russell, Robert A., 2003. "Scheduling sports competitions on multiple venues," European Journal of Operational Research, Elsevier, vol. 148(2), pages 302-311, July.
    3. Edmund K Burke & Michel Gendreau & Matthew Hyde & Graham Kendall & Gabriela Ochoa & Ender Özcan & Rong Qu, 2013. "Hyper-heuristics: a survey of the state of the art," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(12), pages 1695-1724, December.
    4. S. Lin & B. W. Kernighan, 1973. "An Effective Heuristic Algorithm for the Traveling-Salesman Problem," Operations Research, INFORMS, vol. 21(2), pages 498-516, April.
    5. Mark Johnston & Mike Wright, 2014. "Prior analysis and scheduling of the 2011 Rugby Union ITM Cup in New Zealand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(8), pages 1292-1300, August.
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    Cited by:

    1. David Bulck & Dries R. Goossens & Frits C. R. Spieksma, 2019. "Scheduling a non-professional indoor football league: a tabu search based approach," Annals of Operations Research, Springer, vol. 275(2), pages 715-730, April.
    2. Li, Miao & Davari, Morteza & Goossens, Dries, 2023. "Multi-league sports scheduling with different leagues sizes," European Journal of Operational Research, Elsevier, vol. 307(1), pages 313-327.
    3. Jakee, Keith & Kenneally, Martin & Dineen, Declan, 2022. "Scheduling slots and league objectives: An empirical analysis of Australia’s AFL," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 359-371.
    4. 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.
    5. Durán, Guillermo & Durán, Santiago & Marenco, Javier & Mascialino, Federico & Rey, Pablo A., 2019. "Scheduling Argentina’s professional basketball leagues: A variation on the Travelling Tournament Problem," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1126-1138.

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