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Scheduling the Italian National Volleyball Tournament

Author

Listed:
  • Guido Cocchi

    (DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy)

  • Alessandro Galligari

    (DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy)

  • Federica Picca Nicolino

    (DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy)

  • Veronica Piccialli

    (DICII, Università di Roma Tor Vergata, 00173 Rome RM, Italy)

  • Fabio Schoen

    (DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy)

  • Marco Sciandrone

    (DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy)

Abstract

In this paper, we present our approach to sports scheduling, a process that led the Italian Volleyball League to adopt our calendar for the 2016–2017 and subsequent seasons. Sports scheduling is a hard combinatorial optimization problem whose solution requires modeling many different aspects of sports, some of which are unique to each sport or nation. The capability of producing a high-quality schedule is important for both balancing undesirable matches among teams and ensuring adequate coverage by television and other media. Through strong interaction with the Italian Volleyball League, we modeled and solved the problem to optimality using standard mathematical programming solvers. We also tested our solution using previous seasons’ tournaments to prove the capability of our model.

Suggested Citation

  • Guido Cocchi & Alessandro Galligari & Federica Picca Nicolino & Veronica Piccialli & Fabio Schoen & Marco Sciandrone, 2018. "Scheduling the Italian National Volleyball Tournament," Interfaces, INFORMS, vol. 48(3), pages 271-284, June.
    • Handle: RePEc:inm:orinte:v:48:y:2018:i:3:p:271-284
    DOI: 10.1287/inte.2017.0932
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    References listed on IDEAS

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    1. Flavia Bonomo & Andrés Cardemil & Guillermo Durán & Javier Marenco & Daniela Sabán, 2012. "An Application of the Traveling Tournament Problem: The Argentine Volleyball League," Interfaces, INFORMS, vol. 42(3), pages 245-259, June.
    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. David Van Bulck & Dries Goossens & Jo¨rn Scho¨nberger & Mario Guajardo, 2020. "An Instance Data Repository for the Round-robin Sports Timetabling Problem," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 184-200, May.
    3. Van Bulck, David & Goossens, Dries, 2023. "The international timetabling competition on sports timetabling (ITC2021)," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1249-1267.
    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. 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.
    6. 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.
    7. George H. G. Fonseca & Túlio A. M. Toffolo, 2022. "A fix-and-optimize heuristic for the ITC2021 sports timetabling problem," Journal of Scheduling, Springer, vol. 25(3), pages 273-286, June.

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