Case Study: AeroEdge achieves 80% faster issue identification and 90% reduced manual reporting with Yellowfin Signals (Yellowfin)

Yellowfin Signals takes aviation manufacturing quality and profitability to new heights with automated analytics

AeroEdge, a small Japanese aviation manufacturer producing low pressure turbine blades for next‑generation jet engines, faced a major scaling challenge after winning a large supply contract: with roughly 30 steps in a tightly regulated, precision production process, they could not use Excel-based reporting to measure step-by-step cycle times or quickly find causes of defects. To address this, AeroEdge turned to Yellowfin and its analytics platform, including Yellowfin Signals, to move beyond manual spreadsheets and gain automated insight into their production data.

Yellowfin implemented automated analytics and reporting with Yellowfin Signals to calculate step durations, surface statistically significant deviations, and trace defects back to raw materials. As a result, AeroEdge reduced time to identify issues by 80%, cut time spent creating manual reports by 90%, reduced downtime and improved production quality, and is now exploring predictive uses of Yellowfin Signals to further boost yield and throughput.

AeroEdge

Shingo Yamamoto

Chief Information Officer, Chief of IT Strategy Department