Browsing by Subject "statistical process control"
Now showing items 1-8 of 8
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A Multivariate Homogeneously Weighted Moving Average Control Chart
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)This paper presents a multivariate homogeneously weighted moving average (MHWMA) control chart for monitoring a process mean vector. The MHWMA control chart statistic gives a specific weight to the current observation, and ... -
Efficient monitoring of coefficient of variation with an application to chemical reactor process
( John Wiley and Sons Ltd , 2021 , Article)Control chart is a useful tool to monitor the performance of the industrial or production processes. Control charts are mostly adopted to detect unfavorable variations in process location (mean) and dispersion (standard ... -
Enhanced adaptive multivariate EWMA and CUSUM charts for process mean
( Taylor and Francis Ltd. , 2021 , Article)The multivariate charts are mostly used to simultaneously monitor several quality characteristics in manufacturing processes. In this study, we enhance the sensitivities of the recently proposed adaptive multivariate EWMA ... -
Mixed EWMA-CUSUM and mixed CUSUM-EWMA modified control charts for monitoring first order autoregressive processes
( Taylor and Francis Ltd. , 2017 , Article)In practice most processes are known to produce autocorrelated observations. Autocorrelation degrades the performance of control charts by producing frequent false alarms when the process is stable or makes the charts ... -
Monitoring multistage processes with autocorrelated observations
( Taylor and Francis Ltd. , 2017 , Article)In multistage manufacturing processes, autocorrelations within stages over time are prevalent and the classical control charts are often ineffective in monitoring such processes. In this paper, we derive a linear state ... -
Multivariate statistical process control charts based on the approximate sequential ?2 test
( Taylor and Francis Ltd. , 2014 , Article)Similar to the univariate CUSUM chart, a multivariate CUSUM (MCUSUM) chart can be designed to detect a particular size of the mean shift optimally based on the scheme of a sequential likelihood ratio test for the noncentrality ... -
Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes
( John Wiley and Sons Ltd , 2023 , Article)In this work, both the cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts have been reconfigured to monitor processes using a Bayesian approach. Our construction of these charts are ... -
Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring
( Wiley , 2021 , Article Review)Profile monitoring is one of the methods used in statistical process control ((Formula presented.)) to understand the functional relationship between response and explanatory variables by tracking this relationship and ...