Solutions
AI Autonomous Manufacturing Platform
A big data-driven autonomous manufacturing platform for the future of AX
Questions this page answers
- Can process variables be controlled automatically by AI?
- Can a new process be validated in simulation before it goes live?
- What are the stages of big data-driven manufacturing optimization?
What gets optimized
IMPIX’s big data-driven AI autonomous manufacturing platform is a shop-floor optimization solution. AI judges, executes and controls production data in real time, delivering an autonomous manufacturing system that improves productivity and quality at the same time.
Let the data set the parameters
On most floors, experienced operators adjust process variables by judgment. When the operator changes, the baseline changes with them, and that variance shows up as quality variation.
Automating that control with AI algorithms narrows the variance. Because each set of conditions and its outcome is recorded as data, equipment settings and quality data stay connected rather than drifting apart.
Check before you commit
Before introducing a new process, digital twin simulation shows the likely outcome in advance. Validating virtually rather than halting a real line means far more options can actually be tried.
Components and key capabilities
- AI autonomous control
- AI algorithms control process variables automatically to reduce defect rates, replacing settings that operators previously judged by experience.
- Digital twin simulation
- See the outcome of a new process in a virtual environment before applying it — validation without stopping the line.
- Real-time judgment and execution
- Production data is read, judged and carried through to control in real time.