How RAMPF optimizes its dispensing process autonomously
Based on our Industrial Data Platform, a closed-loop control adjusts the dispensing parameters on its own – stable despite raw material fluctuations and changing ambient conditions.
- Customer
- RAMPF Production Systems
- Industry
- Dispensing and automation systems
- Services
- IIoT solution, AI copilot, closed loop
- Technology
- Industrial Data Platform, drift detection
Starting point
RAMPF Production Systems builds dispensing and automation systems. In the dispensing process, raw material fluctuations and changing ambient conditions have a direct effect on the result.
Deviations in pressure, temperature and mixing ratio must be detected early. At the same time, every operator should reach the optimal result without lengthy onboarding.
Implementation
Based on our Industrial Data Platform (IDP), we developed an IIoT solution that connects the systems. It detects deviations in pressure, temperature and mixing ratio and adjusts the process parameters on its own.
For machine operation, there is an AI-based copilot. It gives data-driven recommendations and takes load off the operators.
In addition, there is a central machine history with documentation, integrated maintenance ticketing and analysis of past production runs. This digitalizes the support processes as well.
- Drift detection for pressure, temperature and mixing ratio
- Closed-loop control of the dispensing parameters
- AI copilot for operation
Result
The dispensing process remains stable, even when raw materials fluctuate and the environment changes. The copilot guides every operator to the optimum without senior-level knowledge. Dispensing and service knowledge is available at all times.
- Yield
- +18 %
- Onboarding time
- −90 %
More references
All references
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