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Abstract
The CUSUM control chart is a popular method used to monitor the performance of production processes. The performance of the CUSUM is generally evaluated with the assumption that the process parameters are known. In practice, the parameters are rarely known and are frequently replaced with estimates from an in-control reference sample. We discuss the run length distribution of the CUSUM with estimated parameters and provide a method for approximating this distribution and moments. We evaluate the performance of the CUSUM with estimated parameters in a variety of practical situations.
Additional information
Notes on contributors
L. Allison Jones
Dr. Jones is an Assistant Professor in the Department of Management. She is a Member of ASQ. Her email address is [email protected].
Charles W. Champ
Dr. Champ is a Professor in the Department of Mathematical Sciences. He is a Member of ASQ. His email address is [email protected].
Steven E. Rigdon
Dr. Rigdon is a Professor in the Department of Mathematics and Statistics. He is a Member of ASQ. His email address is [email protected].
