Title :
Monitoring process manufacturing performance
Author :
Martin, Elaine ; Morris, Julian ; Lane, Steven
Author_Institution :
Sch. of Chem. Eng. & Adv. Mater., Newcastle upon Tyne Univ., UK
fDate :
10/1/2002 12:00:00 AM
Abstract :
In today´s process manufacturing environment, issues arise that render the application of traditional multivariate methods for process performance monitoring difficult. The article looks at innovations in this area.
Keywords :
batch processing (industrial); least squares approximations; process monitoring; statistical process control; time series; dynamic processes; flexible manufacturing; industrial ethylene propylene rubber compounding process; mixed batch/continuous process; multirecipe multigroup performance monitoring; multivariate statistical process control; polymer film manufacturing process; process manufacturing performance; process performance monitoring; product consistency; product quality; semiconductor manufacturing process; semidiscrete formulations manufacturing process; Chemical engineering; Current measurement; Flexible manufacturing systems; Manufacturing industries; Manufacturing processes; Monitoring; Principal component analysis; Process control; Productivity; Sampling methods;
Journal_Title :
Control Systems, IEEE
DOI :
10.1109/MCS.2002.1035215
