Airport check-in counters assignment using predicted passenger load: A case study

Abstract

Before Covid19, airport around the world are faced with limited capacity issues and predicting the passenger demand at the airport is vital for resource planning at various customer touch points ranging from check-in counters and immigration. In this case study, we use one-year historical data to forecast the departure demand for each airline and develop a simulation model to determine the number of check-in counters required to optimize the resource utilization at the airport. The overall objective of this paper is to uncover the real-world business problem in the classroom setting and the authors will share how to go through this case study in detail.