Optimize Batch Process Performance Using Multivariate Data Analysis

• Gain the practical skills and knowledge to use multi-block modelling to model your batch process.
• Improve understanding of key process relationships for batch processes.
• Identify key contributors to poor process performance for batch processes.
• Troubleshoot and correct recurring process problems for batch processes.
• Optimize process performance for batch processes.

• Clear guidance on fundamental topics
• Multivariate analysis workflows
• Hands-on software labs
• Experienced instructor-guided demonstration

Introduction to Batch Processes and Data Structure

Analysis of Historical Batch Data

Use of key feature (landmark) approach

PCA/PLS analysis based on unfolded data

Interpretation of score and loading plots, contributions

Alignment and analysis of trajectories

Batch data unfolding techniques

Trouble-shooting batch problems

Online Monitoring of Batch Processes (Multivariate SPC)

Detecting & diagnosing abnormal batches

Monitoring based on batch-wise & observation-wise unfolding

Online Prediction & Control of Batch Processes

Prediction of final quality

Mid-course correction

End-point determination

Optimization of Batch Processes by Latent Variable Methods

Important concepts for the active use of latent variable models

Optimization of batch recipes and trajectories to achieve a desired product

Model Explorer and Model Optimizer features

Workshop sessions using industrial data are held throughout the day