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Softball Scheduling as Easy as 1-2-3 (Strikes You're Out)

Author

Listed:
  • Mark Grabau

    (IBM Corporation, Westerville, Ohio 43082)

Abstract

Scheduling games for any professional sport is an extremely complex process. Scheduling recreational softball games for over 1,000 players is also a difficult process. A scheduler must adhere to nearly two dozen intertwined scheduling rules, while simultaneously ensuring that the players play their allotment of games. This paper reviews the scheduling of college basketball and professional baseball, football, and soccer. It then presents an integer programming approach to solve this problem. Finally, it identifies the obstacles encountered and the qualitative and quantitative benefits of the approach.

Suggested Citation

  • Mark Grabau, 2012. "Softball Scheduling as Easy as 1-2-3 (Strikes You're Out)," Interfaces, INFORMS, vol. 42(3), pages 310-319, June.
    • Handle: RePEc:inm:orinte:v:42:y:2012:i:3:p:310-319
    DOI: 10.1287/inte.1110.0559
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    Citations

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    Cited by:

    1. Guillermo Durán, 2021. "Sports scheduling and other topics in sports analytics: a survey with special reference to Latin America," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 125-155, April.
    2. 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.
    3. 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.
    4. 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.

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