Using mixed integer programming to win a cycling game

Jeroen Belin (), Dries Goossens (), Daam Van Reeth () and Liesje De Boeck ()
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Jeroen Belin: Hogeschool-Universiteit Brussel (HUB), Belgium
Dries Goossens: Katholieke Universiteit Leuven, Belgium
Daam Van Reeth: Hogeschool-Universiteit Brussel (HUB), Belgium
Liesje De Boeck: Hogeschool-Universiteit Brussel (HUB), Belgium

No 2009/10, Working Papers from Hogeschool-Universiteit Brussel, Faculteit Economie en Management

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.

Keywords: Cycling; game; spreadsheet modeling; mixed integer programming; knapsack problems; multiperiod problems; stock market (search for similar items in EconPapers)
Pages: 14 pages
Date: 2009-05
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