The turnaround process is highly complex and includes multiple interacting human in the loop workflows at multiple workstations at an airbase, and varies from base to base. This paper describes an empirical method of identifying and measuring the primary process tasks, flows and interactions that contribute to the turnaround time, and a modeling and simulation approach to evaluating proposed changes to the process. The goal of the described study was to improve process improvement decision making by using empirical data and modeling and simulation capabilities that consider the entire turnaround process as a system.
