Production optimization systems

Achieve optimal economic return through supervisory control of operating conditions and production queueing.

Automated machine setup systems

Determine the optimal machine setup parameters for different product profiles.

Production planning, controlling and scheduling systems

Optimize production planning, scheduling, batch sizing and resource allocation.

Stock management and inventory control

Improve material flow for work-in-progress storage areas, material stockpiles and warehouses.

Condition monitoring systems

Monitor and quantify equipment wear, detect faults and identify failure sources based on historical data.

Energy management systems

Schedule energy intensive operations or running modes during peak alternative energy production times or favourable tariff slots.

Multivariable systems

Model-based digital control of systems with multiple interacting elements.

Processes with significant delays

When a large delay is present in a system, traditional controllers can only react to the current measurements, whereas model-based controllers use predicted future states.

Constrained systems

Systems where the state or actuation is limited during closed-loop operation.

Tracking systems

Systems where a process variable must closely follow a predetermined trajectory instead of regulating around a fixed setpoint.

Systems where the controlled variable cannot be measured directly

Combining model-based control with state estimation techniques allows for the control of variables that are not practically or economically measurable.

Operating conditions that fall outside the valid operating range of installed controllers

Open-loop optimal control is utilized to bring systems into a state where closed-loop control can take over, for example during process start-up or shutdown.