See how to compare and contrast situational usefulness of two methods for looking at lots of process variables at the same time: Model Driven Multivariate Control Charts (MDMCC) and Process Screening.

Note: Q&A is included at ~ Times 16:28, 22:00, 23:56, 27:36, 40:24, 43:00 and 45:38.

Resources

• 2020 JMP Discovery Summit Presentation, Fault Detection and Diagnosis of the Tennessee Eastman Process using Multivariate Control Charts, by J. Ash, JMP
• 2020 JMP Discovery Summit Presentation, Recent Developments in JMP(R) Quality and SPC, by L. Lancaster, J. Ding and A. Zangi, JMP
• 2020 JMP Discovery Summit Tutorial, Large-Scale Process Monitoring Using JMP, by J. Zing
• Using Partial Least Squares video
• Using JMP Pro Functional Data Explorer for PCA