P. Nomikos et Jf. Macgregor, MULTIWAY PARTIAL LEAST-SQUARES IN MONITORING BATCH PROCESSES, Chemometrics and intelligent laboratory systems, 30(1), 1995, pp. 97-108
Multivariate statistical procedures for monitoring the progress of bat
ch processes are developed. Multi-way partial least squares (MPLS) is
used to extract the information from the process measurement variable
trajectories that is more relevant to the final quality variables of t
he product. The only information needed is a historical database of pa
st successful batches. New batches can be monitored through simple mon
itoring charts which are consistent with the philosophy of statistical
process control. These charts monitor the batch operation and provide
on-line predictions of the final product qualities. Approximate confi
dence intervals for the predictions from PLS models are developed. The
approach is illustrated using a simulation study of a styrene-butadie
ne batch reactor.