Multivariate statistical process control for autocorrelated processes

DOI10.1080/00207549608904992zbMath0927.90041OpenAlexW2000811213MaRDI QIDQ4230176

George C. Runger

Publication date: 1 March 1999

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207549608904992

zbMATH Keywords

principal component analysisstatistical process controlmultivariate statistical process controlprocess datacontrol statistic

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Production models (90B30)

Related Items (6)

A hierarchical process monitoring strategy for a serial multi-stage manufacturing system ⋮ A generalized exponentially weighted moving average control chart for monitoring autocorrelated vectors ⋮ SPC for short-run multivariate autocorrelated processes ⋮ Double sampling control chart for a first order autoregressive process ⋮ Sufficient reduction methods for multivariate time-dependent health surveillance data ⋮ Contributors to a multivariate statistical process control chart signal

Cites Work

• Unnamed Item
• Effects of autocorrelation on control chart performance
• Multivariate quality control
• Performance of CUSUM Control Schemes for Serially Correlated Observations
• Run-Length Distributions of Special-Cause Control Charts for Correlated Processes
• Average run lengths for cusum control charts applied to residuals

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