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A Microcomputer-Based Decision Support System for Scheduling Umpires in the American Baseball League

Author

Listed:
  • James R. Evans

    (Department of Quantitative Analysis and Information Systems, University of Cincinnati, Cincinnati, Ohio 45221-0130)

Abstract

Umpire scheduling in the American Baseball League is a complex, multicriteria optimization problem. It is ideally suited for an interactive decision support system that incorporates optimization techniques, heuristic rules, and human judgment. A microcomputer-based system with these characteristics has significantly reduced the time needed to create good schedules and has improved their quality.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:18:y:1988:i:6:p:42-51
    DOI: 10.1287/inte.18.6.42
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    Citations

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    Cited by:

    1. Mancini Simona & Isabello Andrea, 2014. "Fair referee assignment for the Italian soccer serieA," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-8, June.
    2. Alan T. Murray & Antonio Ortiz & Seonga Cho, 2022. "Enhancing strategic defensive positioning and performance in the outfield," Journal of Geographical Systems, Springer, vol. 24(2), pages 223-240, April.
    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. M B Wright, 2007. "Case study: problem formulation and solution for a real-world sports scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(4), pages 439-445, April.
    5. Wauters, Tony & Van Malderen, Sam & Vanden Berghe, Greet, 2014. "Decomposition and local search based methods for the traveling umpire problem," European Journal of Operational Research, Elsevier, vol. 238(3), pages 886-898.
    6. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    7. Trick, Michael A. & Yildiz, Hakan, 2012. "Locally Optimized Crossover for the Traveling Umpire Problem," European Journal of Operational Research, Elsevier, vol. 216(2), pages 286-292.
    8. Amina Lamghari & Jacques Ferland, 2010. "Metaheuristic methods based on Tabu search for assigning judges to competitions," Annals of Operations Research, Springer, vol. 180(1), pages 33-61, November.
    9. Lamghari, Amina & Ferland, Jacques A., 2011. "Assigning judges to competitions of several rounds using Tabu search," European Journal of Operational Research, Elsevier, vol. 210(3), pages 694-705, May.
    10. de Oliveira, Lucas & de Souza, Cid C. & Yunes, Tallys, 2014. "Improved bounds for the traveling umpire problem: A stronger formulation and a relax-and-fix heuristic," European Journal of Operational Research, Elsevier, vol. 236(2), pages 592-600.
    11. M B Wright, 2009. "50 years of OR in sport," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 161-168, May.
    12. 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.
    13. Michael A. Trick & Hakan Yildiz, 2011. "Benders' cuts guided large neighborhood search for the traveling umpire problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(8), pages 771-781, December.

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