Significant measurement error often exists in quality control applications. Measurement error
is known to result in reduced power to detect a given change in the mean or variance of a …

A model for correlated quality variables with measurement error is presented. It is shown that
the performance of multivariate control charting methods based on measured covariates is …

This study introduces the Bayesian adaptive exponentially weighted moving average
(AEWMA) control chart within the framework of measurement error, examining two separate …

This paper explores the effect of measurement errors on a joint monitoring control chart by
using three different techniques (i) covariate method (ii) multiple measurements (iii) linear …

Measurement error is a usually met distortion factor in real-world applications that influences
the outcome of a process. The performance of the control charts can be affected in the …

To detect sustainable changes in the production processes, memory-type control charts are
frequently utilized. This study is conducted to assess the performance of the Bayesian …

Measurement error (ME) can have a substantial impact on quality control applications,
diminishing the sensitivity to detect changes in the mean or variance of quality …

Control charts are tools used for monitoring manufacturing processes. Fuzzy Set Theory has
found its way in control charts and new types of fuzzy control charts, with different …

A control chart is one of the important industrial tools used for monitoring the stability of
manufacturing processes. The performance of the control charts can be affected in the …

As we know, the measurement error often exists in practice, and affects the performance of
quality control in some cases. The autoregressive process with the measurement error is …