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Using mixed integer programming to win a cycling game


Author Info

  • 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)

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    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.

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    Bibliographic Info

    Paper provided by Hogeschool-Universiteit Brussel, Faculteit Economie en Management in its series Working Papers with number 2009/10.

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    Length: 14 pages
    Date of creation: May 2009
    Date of revision:
    Handle: RePEc:hub:wpecon:200910

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    Related research

    Keywords: Cycling; game; spreadsheet modeling; mixed integer programming; knapsack problems; multiperiod problems; stock market;


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