The Hotelling's χ2 chart is the most widely used multivariate chart for monitoring the mean vector of a process. In multivariate process monitoring, ...
The Hotelling's χ2 chart is the most widely used multivariate chart for monitoring the mean vector of a process. In multivariate process monitoring, ...
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A run sum Hotelling's @g^2 control chart is proposed and its average run length (ARL) performance is evaluated using the Markov chain approach.
A run sum Hotelling's χ2 control chart is proposed and its average run length (ARL) performance is evaluated using the Markov chain approach.
Feb 24, 2016 · Control charts are widely used for process monitoring and quality control in manufacturing industries. Implementing variable sampling ...
Abstract: A run sum Hotelling's χ2 control chart is proposed and its average run length (ARL) performance is evaluated using the Markov chain approach. A fast ...
In the present paper, we study two-sided run sum S control charts for monitoring increases and/or decreases in process standard deviation. ... ... We present ...
Feb 24, 2016 · The most widely used multivariate chart for monitoring the mean vector of a process is the Hotelling's χ2 chart (Khoo et al.7). The use of an ...
Run sum S control chart is sensitive in detecting small to moderate shifts. It is an excellent alternative to Shewhart control chart. The performance of the run ...
Abstract. Hotelling's control chart is widely employed to control several related characteristics of a process because of its simplicity.
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