The aerospace industry demands precision, efficiency, and innovation, with every role crucial for ensuring safety and security. Teams have vast amounts of historical information that helps meet these demands, but this same information can become overwhelming when spread across multiple systems, making finding answers challenging. Whether they are test engineers, technicians, and supply chain analysts, all must deal with the consequences of such information sprawl, which unfortunately makes everyday tasks take longer than they should.
This is where generative AI in aerospace comes into play, offering an approach that streamlines processes and enables aerospace professionals to work smarter, not harder.
To learn more about the transformative impact of generative AI (GenAI) on aerospace operations, visit this blog post: Transforming Aerospace Operations with Generative AI
Test engineers play a crucial role in the aerospace industry, ensuring that all components and system systems operate flawlessly. When a part does not meet a set standard, they are asked to fill out a non-conformance report (NCR) with the details of the issue and eventual fix. Down the road, another engineer who encounters a similar problem may look at a past NCR to help them diagnose and implement corrective measures. However, documents are often scattered across various platforms, making it challenging to find the information at all, let alone quickly.
The difficulty in accessing NCRs can significantly delay problem diagnosis and fixing, leading to increased downtime and potential safety risks. For example, if a test engineer cannot quickly find the relevant NCR related to a hydraulic system issue, it could delay finding the root cause and implementing solutions. This inefficiency not only frustrates test engineers but also affects the overall safety and reliability of aerospace systems, impacting work and business outcomes.
Yurts simplifies the job of test engineers by utilizing advanced enterprise search capabilities to swiftly locate and compile NCRs from multiple systems and let engineers chat with them without even knowing where they’re stored. This functionality saves valuable time and lets engineers concentrate on diagnosing and solving complex problems, ultimately enhancing the safety and reliability of aerospace systems.
Read more about how Yurts helps test engineers.
Aerospace technicians are crucial for maintaining the safety and efficiency of aviation operations, responsible for diagnosing and fixing mechanical issues based on detailed fault reports.
For many years, there has been a move towards predictive maintenance, which uses data analytics and machine learning to anticipate equipment failures before they happen. Recently however, there has been a shift towards prescriptive maintenance (RxM), which goes one step further by offering actionable recommendations.
The benefits of RxM for aerospace companies is significant as it allows for detailed root cause analysis, leading to more accurate troubleshooting. This means maintenance teams can take more precise actions, effectively reducing unplanned downtime.
How does Yurts enable prescriptive maintenance? When a technician encounters a fault and logs it into the maintenance system, Yurts can automatically analyze the fault code (or description e.g., "hydraulic pressure loss") and provide the most likely fix code for the problem based on past successful outcomes. This prescriptive approach leverages validated solutions and provides links to relevant documentation and related past fault-fix cases, ensuring technicians can quickly implement the most effective solutions.
Supply chain teams are tasked with assessing supplier performance to allow for quick development while optimizing costs. To do this effectively, they need quick access to data on how a given supplier’s components have performed relative to others. Traditionally, this information is often obtained through phone calls or emails, making manual gathering and analyzing these details a daunting and time-consuming task.
Yurts serves as a scale catalyst for these teams, automating the process of data retrieval and analysis. Yurts can quickly aggregate data from various sources, such as Supply Chain Management System like MSFT Dynamics 365 and supplier databases, to inform supply chain teams which vendors are causing the most rework or reorders and which are providing consistently high-quality parts.
In the aerospace industry, engineers rely on ticketing systems to manage complex tasks and collaborate with their peers. Platforms like Sabre, Trax Emro, Jira, ServiceNow, and Amos are popularly used to streamline processes and enhance productivity. While ticketing systems allow for at-scale project management, they also are burdensome. The more tickets, the more work.
One way to reduce the burden of tickets is to enable people to self-service their own answers. This not only means they can get an answer quickly, but they don’t need to disrupt someone else’s work. For example, let’s say one of the test engineers we talked about earlier isn’t sure what control system setup to use for an actuator they’re testing. Rather than logging a ticket inquiring about what setup to use, they could use Yurts to see if other tickets asking about this setup have been logged before or if the actuator’s manual has that information.
Let’s face it, companies will never have less information as time goes on - they’ll have more. Enabling employees to quickly find answers in that information will become increasingly important if they want to continue to move fast while maintaining quality and safety. Yurts Enterprise AI leads this transformation by leveraging advanced Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to help people get answers they can trust, fast.
Plus, it doesn’t hurt that Yurts can even meet the IT team’s strictest requirements with options like on prem hosting options, LLM agnosticism, and built in access controls.
Ready to see Yurts in action? Request a demo today and discover how Yurts can transform your aerospace operations.
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