This event is part of a seminar series on Supply Chain Management for faculty members, PhD students and postdocs with a research focus on supply chain management.
Presenter: Mario Guajardo (NHH)
Moderator: Hans-Joachim Schramm (WU)
This work studies the travel distances of the teams in the group stage of the 2026 FIFA World Cup from efficiency and fairness perspectives. As efficiency measure, we focus on the total distance traveled by the teams. As fairness measure, we focus on the differences between the distances traveled by teams of the same group. To assess these measures, we formulate the group stage scheduling problem as a multi-league scheduling problem with multiple shared venues. This is a new problem with some special features with respect to earlier problems in the literature on sports scheduling. The problem can be addressed by an integer linear programming model. The model is run using data for the 2026 FIFA World Cup, an event which has raised special concerns due to the relatively long distances between venues. Results of the model are compared with the schedule implemented in practice by FIFA. How fair and efficient is FIFA’s solution?
Participation link will follow.