Intermediate

Monitoring, Diagnosing and Improving Large-Scale Complex Processes

Application Area:
Quality Engineering, Reliability and Six Sigma

See how to examine the impact of factor interaction and improve processes with hundreds or thousands of highly-correlated parameters. Learn to use the JMP 15 Model Driven Multivariate Control Chart (MDMCC) platform, along with Principal Component Analysis (PCA) and Partial Least Squares (PLS), to improve processes and monitor multivariate process variation over time.

This webinar covers: multivariate statistical process control.

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