Since our last newsletter, the predictive maintenance landscape has been buzzing with activity!

The Boeing Predictive Maintenance Team has actively participated in numerous industry events, including:

• Three predictive aircraft maintenance conferences in Singapore, Dublin, and Dubai
• Two MRO conferences in Europe and the Middle East
• Two SAE health management committee meetings in Marseille, France, and Huntsville, Alabama
• Two prognostic health management (PHM) conferences in Singapore and Bellevue, Washington

It’s a privilege to interact with our customers face to face and hear their feedback as we work to deliver world-class predictive maintenance insights.

In addition to these events, we’ve engaged with our global customers via on-site visits, teleconferences, webinars, and hosting at Boeing locations. This level of engagement highlights the continued desire and advancements in predictive maintenance technology, thinking, and application.

At Boeing, we’re continuing to improve our predictive maintenance catalogs and help our operator partners maximize their schedules’ reliability by concentrating on three alerting growth paths.

1. Scaled alerting

The Boeing Predictive Maintenance Team strives to develop and deploy actionable, physics-based models that scale across barriers. Scalable alert development depends on deep engineering knowledge of the aircraft systems and components and focused data integrity.

2. Alert utilization

With Boeing’s alert lifecycle model, we’re using alert utilization information to help us improve our alerts. An effective alert is timely, precise, and actionable, and can be measured.

While monitoring alert utilization at scale has already driven many value-add updates to Boeing’s AHM alert catalog, we’re eager to assess alert effectiveness on a broader scale.

3. Integrated solutions

The Boeing Digital Services and Charlie works teams have partnered to develop and integrate offboard, scalable sensing features using AHM data to give our customers access to the most complete picture of component health in the industry.

ReliablePlane represents a significant advancement in aircraft maintenance technology by combining high-fidelity data acquisition, procedural enforcement, and cloud-based analytics. This platform empowers Boeing customers with actionable insights, enabling a shift from reactive to predictive maintenance and ultimately leading to more reliable and sustainable aviation operations.

I’ve had the privilege of discussing predictive maintenance concepts with industry leaders, exploring how we can enhance partnerships and improve implementation success. A recurring theme in these discussions is the importance of collaboration across the value chain.

We’ve made significant investments in building collaborative relationships with airlines through engagements like the Prognostic Research Collaboration Program (PRCP). Through this program, we leverage Boeing’s deep domain expertise and collaborate with operators to develop high-value insights using full flight sensor data.

We also use this opportunity to share lessons learned so airlines can successfully implement proven alerts on their aircraft. One example is our strong working relationship with British Airways, for which PRCP served as a key factor in its recent success with predictive maintenance across the airline’s 777 and 787 fleets.

Operator feedback is critical to predictive maintenance success. And at Boeing, we continually review and respond to feedback to optimize insights and maximize operational value for fleets.

Additionally, we recognize that component logistics must take a more central role in our predictive maintenance strategy. Adopting a holistic approach by collaborating closely with suppliers, customers, planning, supply chain, and production ensures that validated alerts translate into timely maintenance actions while minimizing supply chain disruptions.

This approach aligns with both current and future supply chain realities. Over the coming year, we’ll prioritize strengthening these partnerships and enhancing integration to deliver a seamless predictive maintenance experience, from alert notification to corrective action.

In closing, the journey from predictive insights to operational impact is accelerating, powered by condition-based maintenance, stronger cross-functional partnerships, and scalable alerting and sensing solutions like PRCP and ReliablePlane.

Together with our airline partners, we are turning data into timely and actionable maintenance decisions that reduce disruptions, lower maintenance burden, and improve fleet reliability.

As we scale these capabilities across models and operations, continued collaboration, feedback, and shared learnings will prove essential. We encourage you to continue your partnership and help shape the next wave of innovations to realize the full value of predictive maintenance.