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Abstract
A multivariate exponentially weighted moving average control chart can be used to improve the detection of small shifts in multivariate statistical process control. Recommendations are provided for the selection of parameters for such a chart. The recommendations are based on performance distributions and average run lengths for zero-state, steady-state, and worst-state cases that are obtained from a Markov chain analysis of the scheme.
Additional information
Notes on contributors
Sharad S. Prabhu
Dr. Runger is an Associate Professor in the Department of Industrial and Management Systems Engineering. He is a Member of ASQC.
George C. Runger
Dr. Prabhu is a Member of the Technical Staff in the Statistical Quality Research and Development Department. He is a Member of ASQC.