Identifying the Process Shift with Robust Control Charts in the Presence of Contamination
Chiong Liong Wong,
Kooi Huat Ng,
Wei Lun Tan
Abstract:Conventional control charts have traditionally been reliable tools for monitoring processes under the assumption of normally distributed data. However, real-world data often deviate from this idealized normality, leading to reduced charting performance and potentially causing process anomalies to go unnoticed. In this study, by integrating robust statistical estimators and innovative charting techniques, robust control charts demonstrate their capability to effectively detect process shifts and abnormalities i… Show more
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