[IMC 2025] Utilizing the Power of Augmented Intelligence in Engine Services at KLM

Описание: Dr. Bruno Santos, KLM Royal Dutch Airlines

In the dynamic world of aircraft and engine maintenance, predictive analytics and artificial intelligence (AI) are transforming how we manage and optimize our MRO services. This presentation will explore the innovative applications of these technologies at KLM, with specific focus on the KLM Engine Service. We will cover predictive health monitoring, prescriptive analytics, and AI in automation. Predictive health monitoring benefits KLM and its clients by using PROGNOS, which leverages big data and advanced analytics to monitor aircraft systems and engine components. This provides early warnings of potential issues to prevent AOG situations, flight delays, and cancellations, thus improving airworthiness and aircraft availability. In prescriptive analytics, we are designing tools for maintenance planning and resource optimization to improve visit schedules and manage aircraft and engine lease contracts. Phaser, an optimizer recently developed at KLM, generates efficient shop visits and phase-out plans for engines, thereby maximizing utilization and reducing costs. It is effectively overseeing the phase-out of KLM's 737 aircraft, ensuring a seamless and cost-effective transition. We will also cover how GenAI is automating engine income inspections in our shop. Using speech-to-text and a smart voice bot, we streamline administrative tasks, improve data quality, increase mechanics' hands-on time, and reduce non-performance costs.