Production optimization
Each production has its own limitations, when we can effectively influence one or another result. In particular, some cases can be singled out as an example.
Predictive maintenance:
Wear parts requiring maintenance. Diverse operating scenarios are modeled, risks are predicted.
Critical studies:
The algorithm determines which events cause crashes, stops, or alerts.
Process control:
Simulation of data in which some characteristics affect others.
Real-time process monitoring:
Follows the parameters of process-critical components and proactively issues alerts when defined limit values are approached.
Modelling of energy and raw-material consumption:
Optimises the amount of energy and raw materials needed to reach targeted production volumes.
KPI:
The algorithm combines process analysis data and compares with the calculated analytical data prepared in advance by specialists.
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