(233h) A Comprehensive Statistics-Based Approach to Proactive Process Analysis Including Multivariate Analysis Methods
- Conference: AIChE Annual Meeting
- Year: 2016
- Proceeding: 2016 AIChE Annual Meeting
- Group: Pharmaceutical Discovery, Development and Manufacturing Forum
Monday, November 14, 2016 - 3:15pm-5:45pm
The approach to process monitoring for continuous improvement purposes can be varied. An example of a comprehensive systematic, statistics-based approach to proactive process analysis is presented here. The approach includes using statistical process control to visualize and identify trends before an impact to quality occurs. Furthermore, the use of multivariate analysis methods, such as principal component analysis (PCA) and partial least squares (PLS), to identify interactions between process parameters and point of cause, in support of root cause investigations, is illustrated.