statistical process optimization

rpc's six sigma approach to process information discovery


Six Sigma is a set of strategies, techniques, and tools for process improvement.  Six Sigma can identify variability in a process and take action to minimize this variability. Once the variability is identified and minimized, the process is shifted to take advantage of the new control flexibility – typically to improve quality and consistency, increase throughput and reduce specific energy consumption.

Latent Variable methods provide these tools for model development and analysis.  Principal Component Analysis (PCA) and Partial Least Squares (PLS) are used to determine the lead process variables (PV's) and where the lead PV's should be controlled to for optimal (batch or continuous) process prefromance.