Colloquium: Adin Mekic (C&O)

04 december 2019 14:30 - Locatie: Lecture Room F, Faculty of Aerospace Engineering, Kluyverweg 1, Delft.

Multi-criteria decision making for improvement of security and efficiency at airport security checkpoints using agent-based models

Agent-based modelling and simulation has shown to be a suitable paradigm for analyzing complex airport systems, such as airport security checkpoints. The models can be used to analyze important airport terminal performance areas, such as security and efficiency. However, limited knowledge exists on how agent-based models can be used to aid airport managers in their decision making. This research aims to answer how multi-criteria decision making methods can be integrated with agent-based models to provide decision aid to airport terminal decision makers with the aim of improving security and efficiency. To answer this research question, a methodology was proposed which combines agent-based models, multi-criteria decision making, discrete choice models, and expert knowledge. The methodology is applied to a case study in which several alternatives of configuring personnel are available.