To improve the airport’s operation, we use Monte Carlo simulation to determine the optimal number of check-in counters required for a single flight with 200 scheduled passengers in a 2-hour check-in period. Our analysis of the passenger arrival pattern supported that the inter-arrival time can be approximated using an exponential distribution. By using the Monte Carlo Simulation model with increasing number of check-in counters, we were able to conclude that three check-in counters were optimal to satisfy the service level requirement that at least 90% of the passengers must be served within 10 minutes upon arrival at the check-in queue. In additional, we further extend our analysis to cater for different passenger loads from 50 to 550 and determine the linear relationship between the number of counters required and passenger load.