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Scheduling Softball Series in the Rocky Mountain Athletic Conference

Author

Listed:
  • Marjorie Cone Saur

    (Rio Tinto Kennecott Utah Copper)

  • Kaleigh Starr

    (Division of Economics and Business, Colorado School of Mines, Golden, Colorado 80401)

  • Mark Husted

    (Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, Colorado 80401)

  • Alexandra M. Newman

    (Division of Economics and Business, Colorado School of Mines, Golden, Colorado 80401)

Abstract

The Rocky Mountain Athletic Conference is a Division II National Collegiate Athletic Association conference that offers, inter alia, women's softball. Within the conference, four-game series are played against every other conference team according to a temporally constrained schedule. Manually generated schedules result in imbalances, such as breaks of multiple home or away series and away-series season openers and closers for the same team, and fail to mitigate weather-related series disruptions. Our integer-programming–based schedules eliminate these problems while ensuring that all requisite series are played. In this paper, we present a 40-game schedule; we do not present 36- and 44-game schedules, which are nearly equivalent. For its 2011 softball season, the Rocky Mountain Athletic Conference adopted the 40-game schedule from these three schedules.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:42:y:2012:i:3:p:296-309
    DOI: 10.1287/inte.1110.0576
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    References listed on IDEAS

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    1. Guillermo Durán & Mario Guajardo & Jaime Miranda & Denis Sauré & Sebastián Souyris & Andres Weintraub & Rodrigo Wolf, 2007. "Scheduling the Chilean Soccer League by Integer Programming," Interfaces, INFORMS, vol. 37(6), pages 539-552, December.
    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. Gerald G. Brown & Robert F. Dell & R. Kevin Wood, 1997. "Optimization and Persistence," Interfaces, INFORMS, vol. 27(5), pages 15-37, October.
    4. James R. Evans, 1988. "A Microcomputer-Based Decision Support System for Scheduling Umpires in the American Baseball League," Interfaces, INFORMS, vol. 18(6), pages 42-51, December.
    5. Adam Farmer & Jeffrey S. Smith & Luke T. Miller, 2007. "Scheduling Umpire Crews for Professional Tennis Tournaments," Interfaces, INFORMS, vol. 37(2), pages 187-196, April.
    6. Gerald G. Brown & Kelly J. Cormican & Siriphong Lawphongpanich & Daniel B. Widdis, 1997. "Optimizing submarine berthing with a persistence incentive," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(4), pages 301-318, June.
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    Cited by:

    1. 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.
    2. 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.
    3. 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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