Process Control

Predictive models, planning algorithms and control systems containing AI components can help to optimize an industrial or agricultural process on several levels:

• PID controllers can be replaced by Fuzzy Logic controllers which by definition outperform their classical counterpart. By using an intelligent tuning mechanism, the controller becomes more flexible and easy to use.
• Robotic manipulators can work faster, more accurate and with less wear with intelligent movements and automatic calibration in place.
• Data mining on supply and demand data in combination with self learning algorithms that can understand your production process can help you to more quickly respond to changing demands, while having less products waiting in stocks.
• Automatically create an optimal production schedule based upon parameters like the availability of work force and supply and demand