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Cited by

• 2007Multivariate Statistical Process Control Based on Principal Component Analysis (MSPC-PCA): Some Reflections and a Case Study in an Autobody Assembly Process122 cited
• 2006Multivariate Control Charts for Monitoring Covariance Matrix: A Review118 cited
• 2001The Performance of Multivariate Control Charts in the Presence of Measurement Error92 cited
• 2006On‐line Identification and Quantification of Mean Shifts in Bivariate Processes using a Neural Network‐based Approach85 cited
• 2005Improved Monitoring of Multivariate Process Variability85 cited
• 2000Change-point detection of mean vector or covariance matrix shifts using multivariate individual observations78 cited
• 2004Artificial neural networks to classify mean shifts from multivariate χ2 chart signals72 cited
• 1999Improving the Sensitivity of the T 2 Statistic in Multivariate Process Control70 cited
• 2008An effective application of decision tree learning for on-line detection of mean shifts in multivariate control charts62 cited
• 2015Monitoring the ratio of two normal variables using Run Rules type control charts58 cited
• 2013Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift58 cited
• 1999Statistical properties of the lsi multivariate control chart57 cited
• 2010Variation reduction for multistage manufacturing processes: a comparison survey of statistical‐process‐control vs stream‐of‐variation methodologies