Process Optimization and Continual Improvement using Geometric Process Control

Continuous Improvement management using tools such as 6-sigma, lean, and statistical process control (SPC) has been tremendously successful in reducing process variation and improving performance in manufacturing. Limitations include high training requirements in mathematical statistical methods and the general restriction to single-variable statistics which omits most process industry applications.

Geometric Process Control (GPC) as implemented in C Visual Explorer (CVE) dramatically expands the scope, giving engineers the tools for self-service multivariate investigation and analytics visually, without a statistical background, allowing every engineer to participate and drive continual process improvement.

This webinar introduces the technology and tools that allow visualization of hundreds of variables in one graph, finding sources of process variability, ideal operating targets and places where multi-modal operation may be confounding analysis. These tools are entirely visual, allowing them to be used without statistics or data science backgrounds, leveraging the existing intuition and knowledge of process and operations engineers.

We’ll spend a little time looking at C Process Modeller (CPM) as well, identifying changes in multi-variate relationships, identifying changes in these relationships allowing rapid response to new variation.

We will use live demonstrations throughout, showing how you can easily make use of this technology in your process.