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Scheduling the German Basketball League

Author

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  • Stephan Westphal

    (Institute for Applied Stochastics and Operations Research, Clausthal University of Technology, 38678 Clausthal-Zellerfeld, Germany)

Abstract

In this paper, we discuss the problem of finding an optimal schedule for the German Basketball League (BBL) for the 2011–2012 season. A major issue that we address is that most of the games take place in multipurpose arenas that are also used for other events and are thus not always available. In addition, we must minimize the number of successive home or away games, assign the most interesting games to television broadcasting slots, minimize the distance teams must drive on a newly established derby day, and meet team requests for home or away games and to play specific teams.We present several algorithmic approaches and show how these models fit the BBL’s requirements. In this process, we prove that the classic models, which the BBL had applied previously and many other leagues still apply, are too limited to meet these requirements. We show that canonical schedules do not have the desired properties. We proved to the BBL that mirrored schedules cannot meet its needs, and thus convinced it to use nonmirrored schedules for the first time in its history. The BBL’s requirements are typical of sports leagues; therefore, the approaches presented are also applicable to many other sports leagues. We implemented our approach in scheduling software that we developed for the BBL and applied to its 2011–2012 season scheduling.

Suggested Citation

  • Stephan Westphal, 2014. "Scheduling the German Basketball League," Interfaces, INFORMS, vol. 44(5), pages 498-508, October.
    • Handle: RePEc:inm:orinte:v:44:y:2014:i:5:p:498-508
    DOI: 10.1287/inte.2014.0764
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    References listed on IDEAS

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    1. Dries Goossens & Frits Spieksma, 2009. "Scheduling the Belgian Soccer League," Interfaces, INFORMS, vol. 39(2), pages 109-118, April.
    2. 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.
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    Cited by:

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    2. Ahmed Ghoniem & Agha Iqbal Ali & Mohammed Al-Salem & Wael Khallouli, 2017. "Prescriptive analytics for FIFA World Cup lodging capacity planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1183-1194, October.
    3. Yun-Chia Liang & Yen-Yu Lin & Angela Hsiang-Ling Chen & Wei-Sheng Chen, 2021. "Variable Neighborhood Search for Major League Baseball Scheduling Problem," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    4. 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.
    5. Van Bulck, David & Goossens, Dries, 2023. "A traditional Benders’ approach to sports timetabling," European Journal of Operational Research, Elsevier, vol. 307(2), pages 813-826.
    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. 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.
    8. 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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