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.
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