Process Optimisation (available 2020)

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.

Explore optimisation scenarios that show the best solution possible, as well as the lost opportunity from not implementing the optimal strategy.

Key features include:

• Easy configuration of the model, constraint limits and cost function
• Multiple models
• Model selection and constraint limits can be linked to tags for programmable configuration
• Linear, Quadratic, Sequential Quadratic programming (LP, QP, SQP)
• Controlled relaxation of the optimal solution for infeasible situations
• Batch endpoint optimisation