Title: Multivariate Process Control charts and their use in monitoring output quality: a perspective
Author: Jeffrey E. Jarrett, X. Pan
University of Rhode Island, Management Science/CBA, 7 Lippitt Road Kingston RI, 02881, USA.
Lingnan College, Sun Yat-sen University, 135 Xin Gang Xi Road, Guangzhou 510275, China
Abstract: The authors suggest multivariate methods for the construction of quality control charts for the control and improvement of output of manufacturing processes. By example, they demonstrate the usefulness of Multivariate Process Control (MPC) as compared with univariate or Shewhart style control charts. They illustrate and view an existing production process which indicates how variation is not detected by the use of standard quality control charts. In turn, they detect the changes in the process by use of MPC charts. They indicate that the gap between theory and practice and indicate why this gap should be greatly narrowed.
Keywords: quality control; SPC; statistical process control; MPC; multivariate process control; control charts; process monitoring; output quality; manufacturing processes.
Int. J. of Industrial and Systems Engineering, 2009 Vol.4, No.5, pp.471 - 482
Available online: 27 Mar 2009