Utilizing Discrete Event Simulation to Optimize Flight Dispatch Routes

With the growing importance of air travel in the modern world, much effort has been placed in increasing its efficiency and reducing delays. Similar work has historically taken place within the airport or routes between airports, with little optimization of ramp and runway operations. Two reasons for this are the complexity of runway operations, where air traffic controllers need to respond to varying conditions, as well as the random time distributions of events including inspection, clearance, and takeoff. This project utilizes discrete event simulation to create a digital model of the Embry-Riddle Aeronautical University ramp and runway operations at Daytona Beach International Airport. Discrete event simulation allows time distributions to be modeled without simulating continuous time steps, saving computational power and allowing for more complicated systems to be tested. The model has been compared to real-world data to ensure its accuracy, and the model has been used to suggest the optimal dispatch percentage between Embry-Riddle’s main flight ramp and newer Higbee flight ramp. An initial distribution of 10 percent of flights originating from the Higbee ramp will result in a similar flight block time of 2.3 hours, while also decreasing the number of flight cancellations. This digital model will allow for testing of new dispatch schedules and ramp conditions before enacting them in the real world. This model also provides the groundwork for creating additional models for other airports around the globe.