A DECISYON AVIATION - CASE STUDY
GE Aviation Takes Flight with Automated Data Testing and Collaboration
For GE Aviation, the Decisyon App Composer Jet Engine Test Rig solution enables faster validation of new coating systems and shorter implementation timelines, which translates into earlier contract savings from the introduction of new coating solutions. With this initial implementation of the Decisyon App Composer solution alone, GE Aviation’s 15-person engineering team expects to save more than $200,000 annually in productivity increases and reduced repeat testing.
The Challenge
GE Aviation is a global provider of jet engines, components and integrated systems for commercial and military aircraft. The GE Coatings team simulates different flights in the lab by heating and cooling samples of the coated parts thousands of times. That testing process collects data points from multiple sensors every second throughout the tests. With most tests lasting months, this work yields tens of millions of data points. Before the Decisyon App Composer™ Solution, GE Aviation researchers used Excel, Matlab and Minitab software to collect and analyze test data, and email was the primary collaboration tool. These are manual, fragmented, and error-prone methods. Additionally, having data stored in multiple formats on various hard drives added too much time and complexity to its processes. GE Aviation needed a simple, digital capability for its team to use. They wanted to be responsive with tools to collaborate, share and make decisions, as well as efficiently consume, analyze, share and execute on all the data they receive “in context” of the jet engine test rigs.
The Solution
The Decisyon App Composer, Predix-based Jet Engine Test Rig solution allowed the GE Aviation team to use our app builder to easily create its custom solution in a very short time. Using Decisyon App Composer's simple app-building environment, the team was able to drag and drop “widgets” to quickly create apps with the required functionality and data.
The Jet Engine Test Rig solution provided the Coatings Development team with intuitive visualization and advanced analysis of the test data, and eliminated copying and pasting data from multiple Excel sheets into a Minitab file. With only a few hours of work, the GE engineering team automated these previously manual activities by designing a page in Decisyon App Composer. Statistical analysis of multiple tests instantly became far less cumbersome. By clicking on a particular test, the team members could drill down into detailed test data. Its in-context social collaboration functionality makes communication and real-time decision-making — down to the level of the individual data cell — much easier.
Going far beyond the analysis and visualization of test data, the Jet Engine Test Rig solution has built-in functionality to easily set alerts, so GE can now detect, plan for, and fix problems before they happen. The application also includes the ability to expand beyond lab test data to connect to manufacturing data, engine operation data, and hardware performance. Because Decisyon App Composer's visual interface virtually frees customers from hard-coded products that utilize lengthy and costly development cycles, the app can be easily extended to include these additional data sources, without incurring lengthy development cycles.
The Results
For GE Aviation, the Decisyon App Composer Jet Engine Test Rig solution enables faster validation of new coating systems and shorter implementation timelines, which translates into earlier contract savings from the introduction of new coating solutions. With this initial implementation of the Decisyon App Composer solution alone, GE Aviation’s 15-person engineering team expects to save more than $200,000 annually in productivity increases and reduced repeat testing. Being able to anticipate change in real time and to better predict how their business will evolve could add up to tens of millions of dollars. With further development of the app and expanded use throughout the company, additional ROI in the next five years may include:
- Productivity Savings: Up to 50% reduction in R&D time and costs as a result of streamlined data analysis, reduced repeat testing, and improved team collaboration.
- Technology Benefits: Analytics connecting coating processing with lab testing and engine performance could accelerate coating introduction by several years, yielding tens of millions of dollars in savings per coating/engine line.