Statistical Monitoring and Diagnosis of Automatic-Controlled 
                               Processes

                          Fugee Tsung
         Department of Industrial Engineering and Engineering Management
		Hong Kong University of Science and Technology


 As manufacturing quality has become a decisive factor in global
market competition, statistical quality techniques such as Statistical
Process Control (SPC) are becoming very popular in industries.  With
advances in sensing and data capture technology, large volumes of data are
being routinely collected in the processes with Engineering Process
Control (EPC) or Automatic Process Control (APC). There is a growing need
for SPC monitoring and diagnosis in these environments, but an effective
implementing scheme is still lacking. This research provides an integrated
approach to simultaneously monitor and diagnose an automatic-controlled
process. Through step-by-step implementation procedure, the proposed
scheme is expected to have an impact on many manufacturing industries with
EPC or APC.