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Multivariate control charts for monitoring process mean vector of individual observations under regularized covariance estimation
(2021 , Article)
Multivariate control charts are generally used in industries for monitoring and diagnosing processes characterized by several process variables. The applications of charts assume that the in-control process parameters are ...
Exponentially weighted moving average control charts for monitoring coefficient of variation under ranked set-sampling schemes
(
Taylor and Francis
, 2021 , Article)
Several coefficients of variation (CV) control charts under simple random schemes (SRS) have been proposed to monitor process relative variability. However, little attention has been given to investigating the performance ...
A new hwma dispersion control chart with an application to wind farm data
(
MDPI AG
, 2020 , Article)
Recently, a homogeneously weighted moving average (HWMA) chart has been suggested for the efficient detection of small shifts in the process mean. In this study, we have proposed a new one-sided HWMA chart to effectively ...
On designing a sequential based EWMA structure for efficient process monitoring
(
Taylor and Francis Ltd.
, 2020 , Article)
Control chart is a popular technique that is widely used in statistical process control to identify any possible deviations from a stable state of a process. Shewhart charts are famous for identifying larger shifts, while ...
On designing an assorted control charting approach to monitor process dispersion: an application to hard-bake process
(
Taylor and Francis Ltd.
, 2020 , Article)
The monitoring of process variability is an important feature to get optimal output from a process. Control charts are vital tools used for efficient process monitoring. The commonly used types of charts include Shewhart, ...
One-Sided and Two One-Sided Multivariate Homogeneously Weighted Moving Charts for Monitoring Process Mean
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Multivariate memory-type control charts that use information from both the current and previous process observations have been proposed. They are designed to detect shifts in both upper and downward directions with equal ...
Efficient linear profile schemes for monitoring bivariate correlated processes with applications in the pharmaceutical industry
(
Elsevier
, 2020 , Article)
The complexity of chemical processes warrants that collection of information about the processes will continue as they proceed through the various stages of industrialization. Process monitoring has emerged as an essential ...
On auxiliary information-based control charts for autocorrelated processes with application in manufacturing industry
(
Springer London
, 2019 , Article)
Multivariate autoregressive (MAR) models are an attractive choice for applications in the processes related to finance, medical, and industry. For the monitoring of such processes, control chart is the most important and ...
On efficient estimation strategies in monitoring of linear profiles
(
Springer London
, 2018 , Article)
A fundamental strategy to diminish variations in manufacturing process urged the practitioners to characterize the quality of a process by a relationship between the response variable and one or more explanatory variables ...
Robustification of CUSUM control structure for monitoring location shift of skewed distributions based on modified one-step M-estimator
(
Taylor and Francis Inc.
, 2019 , Article)
Including three existing charts, a new approach employing a modified one-step M-estimator (MOM) with Cumulative Sum (CUSUM) control structure were evaluated and compared for their Phase II performances based on the average ...