Honorable mention in INFORMS 2021 AAS Best Student Presentation Competition

Logo of Informs Annual Meeting 2021 Anaheim, California

We present a multi-objective, multi-stakeholder decision making framework for airport slot scheduling decisions. The framework generates the complete set of non-dominated schedules for any triplet of linear slot scheduling objectives. To deal with the decision-making complexity arising from the large number of efficient schedules, we introduce a subtractive clustering algorithm to select a set of representative high-quality schedules. We estimate the expected delays associated with each representative schedule and we incorporate stakeholders’ preferences to select the most preferable airport schedule using schedule displacement and operational delay metrics.

More information about the competition and the award may be found in the following link: https://connect.informs.org/aas/awards/presentation-competition

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