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Production Yield Optimization

Optimize control processes in changing environments

Optimize control processes in changing environments

Autonomous Systems for production yield optimization built on Microsoft Project Bonsai bring AI from research labs to real-life manufacturing process control. By leveraging machine teaching, deep reinforcement learning, and advanced simulation technologies, Neal Analytics designs, trains, and deploys AI agents by customer’s manufacturing lines.

The AI agent will combine classical process inputs, real-life heuristics, and relevant environmental variables to help optimize production yield considering a broad set of potentially competing priorities. Once deployed, the AI agent (aka “Project Bonsai brain”) will either advise operators or directly oversee the manufacturing control system while remaining under operator supervision.

Optimize control processes in changing environments
How PepsiCo makes the perfect Cheetos with the help of Autonomous Systems
How PepsiCo makes the perfect Cheetos with the help of Autonomous Systems

How PepsiCo makes the perfect Cheetos with the help of Autonomous Systems

PepsiCo is a leading food and beverage manufacturer, and Cheetos are one of their most famous snacks. But how can PepsiCo ensure they manufacture the perfect Cheetos every time, even as the production environment changes?

Neal Analytics worked with the Microsoft AI engineering team and the Cheetos manufacturing experts to build, train, and deploy an Autonomous System leveraging the Microsoft Project Bonsai platform. This solution helps PepsiCo ensure the perfect Cheetos snack comes out each time.

Leverage the power of reinforcement learning to build your next AI solution

Contact the Intel IoT Sales Team to learn more about this solution

Learn more about Production Yield Automation at https://nealanalytics.com/expertise/autonomous-systems/