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Using mixed integer programming to win a cycling game

Author

Listed:
  • Belin, Jeroen

    () (Hogeschool-Universiteit Brussel (HUB), Belgium
    Katholieke Universiteit Leuven, Belgium)

  • Goossens, Dries

    () (Katholieke Universiteit Leuven, Belgium)

  • Van Reeth, Daam

    () (Hogeschool-Universiteit Brussel (HUB), Belgium)

  • De Boeck, Liesje

    () (Hogeschool-Universiteit Brussel (HUB), Belgium
    Katholieke Universiteit Leuven, Belgium)

Abstract

This paper presents an application of optimization modeling to win a popular cycling game. The application involves real-life data of today's cyclists and challenges the students because of the competition aspect. Since the developed optimization model contains features of knapsack problems, multiperiod problems and integer programming modeling, it is perfectly suited as a concluding case study in an undergraduate operations esearch/management science course. Moreover, the application also sharpens the understanding of the working of stock exchange markets and is, therefore, also interesting for nance courses. The application was originally developed for an MBA operations research course focusing on spreadsheet modeling skills, but it can also be used in courses that focus on algebraic modeling of ptimization problems.

Suggested Citation

  • Belin, Jeroen & Goossens, Dries & Van Reeth, Daam & De Boeck, Liesje, 2009. "Using mixed integer programming to win a cycling game," Working Papers 2009/10, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
  • Handle: RePEc:hub:wpecon:200910
    as

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