Advanced Data Analytics and Digital Technologies for Smart and Sustainable Maintenance

Maintenance optimization has been of high interest in recent years for both the industry and the knowledge institutions. For example, tens of billions of dollars are spent on annual aviation maintenance, repair, and overhaul (MRO) activities. At the same time, the attention also grows in the direction of the advances in data analytics and digital technologies which can enable the next step in maintenance transition from preventive to predictive. The integration and operational deployment of physics-based (domain knowledge) and data-driven (AI, digital twin) innovative technologies can enhance the optimization of lifecycles and processes. Main objectives are the reduction of aircraft downtime and costs as well as a minimal waste in terms of materials and energy.