RESHAPING AIRCRAFT MAINTENANCE: A SMARTER SCHEDULING AND PLANNING APPROACH FOR MODERN AVIATION

The unique and demanding world of aviation always demands better, smarter, and more dynamic solutions for aircraft maintenance. The key driver of the search for new state-of-the-art developments is the need to minimize aircraft downtime. While traditional methods have proven their usefulness with small maintenance hubs, they can struggle to achieve efficient performance in larger operational maintenance environments. Often, real world scenarios demand multiple dynamic constraints, such as fluctuating delivery dates, resource limitations, material shortages, and work package changes. Ultimately, these changes will require a fast response to accommodate, but at the same time, try to achieve the most efficient way for aircraft redelivery. This paper presents a novel and adaptive module for scheduling and planning designed to reshape how maintenance planning is conducted within the aviation industry. By utilizing constraint programming and modeling, the proposed method aids in making decisions about maintenance planning and scheduling to reduce aircraft downtime by maximizing the utilization of skilled workers, which, in turn, will reflect positively on operational efficiency. This work advances transport planning by providing a scalable, data-driven framework customized to the changing requirements of modern aviation maintenance.