Estimating the limits for statistical process control charts: A direct method improving upon the bootstrap

Estimating the limits for statistical process control charts: A direct method improving upon the bootstrap

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Article ID: iaor20084772
Country: Netherlands
Volume: 178
Issue: 2
Start Page Number: 472
End Page Number: 481
Publication Date: Apr 2007
Journal: European Journal of Operational Research
Authors: , ,
Keywords: simulation: applications
Abstract:

This paper considers the problem of finding limits for a statistical process control (SPC) chart for the process mean, when the process distribution is unknown. The bootstrap method estimates these limits relying on Monte Carlo methods, which are subject to simulation errors. Therefore this paper develops a computationally efficient enumeration method for exact calculations of the control limits.

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