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Batch Process Optimization with MATLAB

This presentation considers the alternative construction of the design space based on experimental data and a grey-box model of the reactions. 

What is Monte Carlo Simulation?

The model is subsequently used to optimize the production process by changing the process variables. You can examine the effect of uncertainty and variability of the parameters on process performance with a Monte-Carlo simulation.

- Reduce experiments required during the process characterization phase
- Improve the fundamental scientific understanding of a process by building a model

- Optimize or scale up the process by manipulating time-varying parameters
- Examine the effect of uncertainty quantification and analysis, which is mandatory for Quality by Design (QbD)

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