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Introduction to the Special Issue on Analytics in Sports, Part II: Sports Scheduling Applications

Author

Listed:
  • Michael J. Fry

    (Department of Operations, Business Analytics and Information Systems, University of Cincinnati, Cincinnati, Ohio 45221)

  • Jeffrey W. Ohlmann

    (Department of Management Sciences, University of Iowa, Iowa City, Iowa 52242)

Abstract

Part II of this Special Issue on Analytics in Sports is devoted to sports scheduling applications. Sports scheduling has proven to be an exceptionally successful application area for operations research. The papers in this issue demonstrate the breadth of applications for sports scheduling. The sports addressed include baseball, volleyball, Canadian football, softball, and soccer. The sports leagues where scheduling methods are applied range from youth recreation leagues to multibillion-dollar professional leagues. In addition, the articles originate from five countries illustrating the international scope of sports scheduling applications.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:42:y:2012:i:3:p:229-231
    DOI: 10.1287/inte.1120.0632
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    References listed on IDEAS

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    1. Michael A. Trick & Hakan Yildiz & Tallys Yunes, 2012. "Scheduling Major League Baseball Umpires and the Traveling Umpire Problem," Interfaces, INFORMS, vol. 42(3), pages 232-244, June.
    2. Guillermo Durán & Mario Guajardo & Rodrigo Wolf-Yadlin, 2012. "Operations Research Techniques for Scheduling Chile's Second Division Soccer League," Interfaces, INFORMS, vol. 42(3), pages 273-285, June.
    3. Marjorie Cone Saur & Kaleigh Starr & Mark Husted & Alexandra M. Newman, 2012. "Scheduling Softball Series in the Rocky Mountain Athletic Conference," Interfaces, INFORMS, vol. 42(3), pages 296-309, June.
    4. 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.
    5. 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.
    6. Celso C. Ribeiro & Sebastián Urrutia, 2012. "Scheduling the Brazilian Soccer Tournament: Solution Approach and Practice," Interfaces, INFORMS, vol. 42(3), pages 260-272, June.
    7. Mark Grabau, 2012. "Softball Scheduling as Easy as 1-2-3 (Strikes You're Out)," Interfaces, INFORMS, vol. 42(3), pages 310-319, June.
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    Cited by:

    1. Elitzur, Ramy, 2020. "Data analytics effects in major league baseball," Omega, Elsevier, vol. 90(C).
    2. Bruce A. Reinig & Ira Horowitz, 2018. "Using Mathematical Programming to Select and Seed Teams for the NCAA Tournament," Interfaces, INFORMS, vol. 48(3), pages 181-188, June.
    3. Mulholland, Jason & Jensen, Shane T., 2019. "Optimizing the allocation of funds of an NFL team under the salary cap," International Journal of Forecasting, Elsevier, vol. 35(2), pages 767-775.
    4. Sean N Riley, 2017. "Investigating the multivariate nature of NHL player performance with structural equation modeling," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-29, September.

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    Keywords

    sports; scheduling;

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