The aim of this work is to use simulation and queueing theory to analyze the current status of the check-in process in an airport and identifying ways to improve its performance. In applications involving stochastic events, demand cannot be determined explicitly beforehand. For those applications, computer simulation is often used to predict resource demands. Queueing results provided a first order of magnitude and an indication of results that one may expect. In the case study the simulation allowed the decision-maker to determine how many check-in counters and what management strategy should be allocated to each departure flight while providing passengers with sufficient quality of service. It was tested that a dedicated check-in for a specific set of flights should be preferred over a common check-in option.