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OR Practice---Training Optimization for the Decathlon

Author

Listed:
  • Yori Zwols

    (Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027)

  • Gerard Sierksma

    (Department of Operations, University of Groningen, 9700 AB Groningen, The Netherlands)

Abstract

Decathlon coaches usually spend days or even weeks on designing training schedules for their athletes. A major complication is the fact that the athlete has only limited time for an extensive range of training exercises, whereas the effects of exercises on the athlete's performance in the various events are interrelated. This paper presents a mathematical model for optimizing the use of the total available training time by assigning time to training exercises. The data used in this time capacity planning model concerns a decathlete preparing for the Olympic Games.

Suggested Citation

  • Yori Zwols & Gerard Sierksma, 2009. "OR Practice---Training Optimization for the Decathlon," Operations Research, INFORMS, vol. 57(4), pages 812-822, August.
    • Handle: RePEc:inm:oropre:v:57:y:2009:i:4:p:812-822
    DOI: 10.1287/opre.1080.0616
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    References listed on IDEAS

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    1. Paul Kvam & Joel S. Sokol, 2006. "A logistic regression/Markov chain model for NCAA basketball," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(8), pages 788-803, December.
    2. Kenny Ian Christopher & Sprevak Dan & Sharp Craig & Boreham Colin, 2005. "Determinants of Success in the Olympic Decathlon: Some Statistical Evidence," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 1(1), pages 1-8, October.
    3. N Hirotsu & M Wright, 2003. "Determining the best strategy for changing the configuration of a football team," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 878-887, August.
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    Citations

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    Cited by:

    1. Guillaume Roels, 2020. "High-Performance Practice Processes," Management Science, INFORMS, vol. 66(4), pages 1509-1526, April.

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