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Assignment of swimmers to events in a multi-team meeting for team global performance optimization

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  • Simona Mancini

    (Politecnico di Torino)

Abstract

Assigning swimmers to events in order to maximize global performance of the team in a multi-team meeting is not a trivial issue for coaches. In fact, often months of hard work and training is wasted if a mistake is made in the line-up decision process. Expert coaches use their long time experience in order to make correct decisions, but often without reaching an optimal assignment. Athletes preferences also affect the decision process making coaches job even harder and, furthermore, the actual goal to be achieved may vary among situations. In this paper two different integer programming models, based on an estimation of opponents performances capability, constructed following two different philosophies and addressing two different situations are proposed. The first model just maximizes the total score obtained by the team, while the second model aim to optimize the placement achieved by the team in the meeting final ranking and the advantage on the first follower in the ranking. A detailed analysis of good and bad points of the two approaches and of situations in which one approach may be preferred respect to the other is reported. A real case example, taken from an Italian Regional Master Meeting, is deeply analyzed and a discussion on the comparison among results obtained with the assignment provided by the two models and the actual lineup proposed by the coach, is provided.

Suggested Citation

  • Simona Mancini, 2018. "Assignment of swimmers to events in a multi-team meeting for team global performance optimization," Annals of Operations Research, Springer, vol. 264(1), pages 325-337, May.
  • Handle: RePEc:spr:annopr:v:264:y:2018:i:1:d:10.1007_s10479-017-2735-5
    DOI: 10.1007/s10479-017-2735-5
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    References listed on IDEAS

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    1. R. Allan Freeze, 1974. "An Analysis of Baseball Batting Order by Monte Carlo Simulation," Operations Research, INFORMS, vol. 22(4), pages 728-735, August.
    2. 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.
    3. Saltzman, Robert M. & Bradford, Richard M., 1996. "Optimal realignments of the teams in the National Football League," European Journal of Operational Research, Elsevier, vol. 93(3), pages 469-475, September.
    4. 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.
    5. Alan Washburn, 1991. "Still More on Pulling the Goalie," Interfaces, INFORMS, vol. 21(2), pages 59-64, April.
    6. J M Norman & S R Clarke, 2007. "Dynamic programming in cricket: optimizing batting order for a sticky wicket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1678-1682, December.
    7. T Van Voorhis, 2002. "Highly constrained college basketball scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(6), pages 603-609, June.
    8. Marvin Hersh & Shaul P. Ladany, 1989. "Technical Note—Optimal Pole-Vaulting Strategy," Operations Research, INFORMS, vol. 37(1), pages 172-175, February.
    9. Schonberger, J. & Mattfeld, D. C. & Kopfer, H., 2004. "Memetic Algorithm timetabling for non-commercial sport leagues," European Journal of Operational Research, Elsevier, vol. 153(1), pages 102-116, February.
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