Application of multivariate statistical process control (MSPC) to a continuous manufacturing process

摘要

The Process industry has been using univariate statistical process control for many years to monitor product quality. One major disadvantage for a continuous chemical manufacturing process is the inability to monitor multiple variables whilst incorporating the interdependencies of all of the variables. There is now increasing awareness of the potential offered by Multivariate Statistical Process Control (MSPC) for process performance monitoring, using techniques such as Principal Components Analysis (PCA) and Projection to Latent Structures (PLS).