Day Two Recap: PAM Singapore Events

PAM Singapore 2025, an eventbrite in the aviation industry, concluded successfully, expressing gratitude to all sponsors, exhibitors, speakers, and delegates for their participation. The three-day event near me was packed with insightful discussions, presentations, and demonstrations, focusing on strategies to enhance aircraft maintenance and operational efficiency.

Panel Discussions

One of the highlights of the eventbrite was a panel discussion that covered early planning, market data, and collaboration as strategies to anticipate parts requirements and support operational efficiency, given high lead times and intensifying aircraft turnaround pressures. The faa explored how better data sharing and collaboration between storage providers, repair stations, CAMO teams, and operators can improve forecasting, mitigate AOG risk, and strengthen lifecycle planning from end to end.

Another panel delved into data-led strategies reshaping maintenance, inventory, and airworthiness management, focusing on digital tools, repair analytics, predictive inventory planning, and integrated aircraft storage models. The final session, moderated by Uma Shangery Aruldass, discussed how data-led strategies are shaping aviation decisions as aircraft utilisation shifts and cost pressures mount.

Keynote Presentations

Day two of PAM Singapore 2025 featured a keynote presentation from Nicolas Detalle of the Aviation Services Research Centre (ASRC), discussing advancements in predictive maintenance, visual hyperspectral drone inspections, and coating degradation monitoring. Another significant presentation was by Gururaj Saralaya and Gavin Chew, who showcased the Collins Aerospace model for airline collaboration in predictive aircraft maintenance, blending automation with human-in-the-loop validation.

Real-world Case Studies

The presentation by Gururaj Saralaya and Gavin Chew was further bolstered by real-world case studies from Peach Aviation, demonstrating operational gains such as reduced operational interruptions and improved maintenance efficiency. These case studies provided practical insights into the implementation of predictive aircraft maintenance strategies.

Predictive Maintenance Approach

The predictive maintenance approach aims to anticipate and mitigate operational disruptions, built on deep technical aircraft knowledge and comprehensive access to extended data. This approach was demonstrated in the in-depth exploration of the enduring partnership between AVIATAR and Peach Aviation, highlighting the successful implementation of Predictive Health Analytics.

Looking Ahead

While information on the next PAM APAC event near me in 2026 is yet to be shared, attendees left PAM Singapore 2025 with a renewed sense of excitement and inspiration for the future of aviation maintenance. The eventbrite underscored the importance of collaboration, data-driven strategies, and innovative technologies in navigating the complexities of the aviation industry.

Stay tuned for more updates on PAM APAC 2026!

Notable Mentions

Richard Brown of NAVEO Consultancy moderated a panel discussion on the rising demand for quality used serviceable material (USM) as aircraft lifespans increase and teardown capacity tightens. The panel included Tony Ramage from EirTrade Aviation, Job Arnold from STRADE, and Mahmoud El Sawah from AirNXT.
Bobby Burkett demonstrated how to access and transform legacy aircraft data into actionable insights, discussing the evolution of data acquisition systems and emerging technologies like IoT and edge computing.
Willi Prahl from Lufthansa Technik and Tsubasa Yamada from Peach Aviation presented an in-depth exploration of the enduring partnership between AVIATAR and Peach Aviation, highlighting the successful implementation of Predictive Health Analytics.
Manuel Saucez and Lahiru Kannangara discussed Airbus's predictive maintenance approach, focusing on S. Fleet Performance +, a solution developed with Digital Alliance partners.
Unfortunately, the name of the person who will organize the PAM Singapore 2026 eventbrite is not specified in the available search results.