Implementation of Multivariate Statistical Process Control

Discover how multivariate statistical models can be used to monitor and optimise industrial processes. In this course, you’ll learn how to work with 2D and 3D data structures, apply the right modelling techniques, and generate performance metrics that reflect real-time production dynamics. You’ll also gain insight into the programming steps behind the models and understand how each component contributes to effective process control. 

What you will learn: 

• How to identify when to use different types of multivariate linear models for process control. 
• How to map statistical models and metrics to your own production case studies. 
• How to connect data structures (matrices and tensors) with appropriate modelling techniques. 
• How to implement key steps in process monitoring routines. 

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