Identifying challenges in maintenance planning for on-demand UAM fleets using agent-based simulations

Abstract The novel aircraft architectures for Urban Air Mobility (UAM), combined with pure on-demand operations, mean a significant change in operation and maintenance compared to traditional airliners. Future flight missions related variables such as the position or utilisation are unknown operation. Consequently, existing methods optimise assignment planning cannot be transferred. This study examines behaviour of an fleet UAM transport system regarding interlinking between maintenance. Initially, potential schedule vehicles is deduced. A simulation introduced where modelled agents servicing simple network. As reach their intervals, they transfer one bases compete that resource. Since competition can result avoidable waiting times, costs extended by running opportunity missed revenue during these periods. Opportunity cost drivers. To reduce two operational approaches examined: Extending opening hours facilities checking earlier simultaneous demand. While extension operating reduces overall costs, adjustment tasks more effective lower times. Thus, improved needs use approach. That combination results approximately $ 58 per hour which about seven percent account costs.