Fleet Planning Under Demand and Fuel Price Uncertainty Using Actor-Critic Reinforcement Learning

Current state-of-the-art airline planning models are required to decrease models either in size or complexity due to computational limitations, limiting the <br/>operational applicability to problems of representative sizes. Models return suboptimal solutions, especially when confronted with factors of uncertainty. Considering the growing...

The Development of a Simulation Model for Airline Cockpit Crew Rostering

This paper presents the development of a simulation model for airline cockpit crew rostering. The developed simulation model supports airlines in performing comparative analyses of different crew rostering scenarios. The model was developed in collaboration with a major European airline, leveraging actual historical pairing, crew and roster data...

Cockpit Crew Transition Planning Optimisation

Pilots are an important asset in the operations of airlines, as with insufficient pilots, an airline cannot operate the planned schedule. The long-term crew planning problem aims to optimally plan the supply and demand for pilots as well as methods and strategies for closing the gap between these. The demand is determined by the number of pilots...