The concept of multivariate quality control is the same as multivariate statistical process control (MSPC). Both methods focus on fault detection and identification. The difference is that multivariate quality control focuses on quality data while MSPC focuses on process data. This talk discusses learning experiences from the on-line implementation. In particular:
- long-term performance: Monitoring of the T2 statistic provides reasonably immediate evidence of the success or failure of newly implemented process improvements
- model maintenance: Model updates can easily be performed to reflect new production targets.
- model leveraging: Models can, in some situations, be used to monitor a similar product in a different facility, thus reducing development time.
L. Chiang and L. Colegrove, Industrial implementation of on-line multivariate quality control, AIChE Annual Meeting, Cincinnati, OH, 2005. Paper 320a.