After improved control comes optimisation, the capability of pushing the process towards desired goals, such as higher yield, higher throughput, greater efficiency, more consistent quality, less waste...or any combination of these.
Importantly, there is a simultaneous requirement to obey limits on multiple process variables; these may be due to the product specification, process equipment or production constraints. A model-based optimiser is used to seek out the most economical solution, whilst honouring all these limits.
Using configurable templates for model, constraint and cost function entry, the user can quickly determine the optimal mode of operation for both batch and continuous manufacturing processes.
Optimisation scenarios can be explored in both off-line and real-time environments, readily showing both the best solution and the lost opportunity from not implementing the optimal solution.
Key features include:
Easy configuration of the model, constraint limits and cost function.
Model selection and constraint limits can be linked to tags for programmable configuration