Efficient homogeneously weighted moving average chart for monitoring process mean using an auxiliary variable
In this paper, we propose an efficient control chart for monitoring small shifts in a process
mean for scenarios where the process variable is observed with a correlated auxiliary …
mean for scenarios where the process variable is observed with a correlated auxiliary …
A multivariate homogeneously weighted moving average control chart
This paper presents a multivariate homogeneously weighted moving average (MHWMA)
control chart for monitoring a process mean vector. The MHWMA control chart statistic gives …
control chart for monitoring a process mean vector. The MHWMA control chart statistic gives …
Multivariate cumulative sum control chart for compositional data with known and estimated process parameters
This article uses the classic multivariate cumulative sum (MCUSUM MCUSUM) chart
scheme proposed by Crossier (1988) to present a new modified MCUSUM MCUSUM chart …
scheme proposed by Crossier (1988) to present a new modified MCUSUM MCUSUM chart …
[PDF][PDF] Intrusion detection system using multivariate control chart Hotelling's T2 based on PCA
Statistical Process Control (SPC) has been widely used in industry and services. The SPC
can be applied not only to monitor manufacture processes but also can be applied to the …
can be applied not only to monitor manufacture processes but also can be applied to the …
Bootstrap-based maximum multivariate CUSUM control chart
Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts
that plot single statistic as a representation of mean vector and covariance matrix. The Max …
that plot single statistic as a representation of mean vector and covariance matrix. The Max …
One-sided and two one-sided MEWMA charts for monitoring process mean
A Haq - Journal of Statistical Computation and Simulation, 2020 - Taylor & Francis
This study focuses on the development of new one-sided and two one-sided MEWMA charts
for monitoring the mean of a multivariate normal process. The one-sided MEWMA chart …
for monitoring the mean of a multivariate normal process. The one-sided MEWMA chart …
Multivariate coefficient of variation control charts in phase I of SPC
SA Abbasi, NA Adegoke - The International Journal of Advanced …, 2018 - Springer
Multivariate control charts are mostly available for monitoring the process mean vector or the
covariance matrix. Recently, work has been done on monitoring the multivariate coefficient …
covariance matrix. Recently, work has been done on monitoring the multivariate coefficient …
Enhanced adaptive multivariate EWMA and CUSUM charts for process mean
The multivariate charts are mostly used to simultaneously monitor several quality
characteristics in manufacturing processes. In this study, we enhance the sensitivities of the …
characteristics in manufacturing processes. In this study, we enhance the sensitivities of the …
An effective approach to detect the source (s) of out-of-control signals in productive processes by vector error correction (VEC) residual and Hotelling's T2 …
One of the biggest challenges in the industrial sector is to simultaneously control quality
characteristics. Multivariate control charts (MCC) are an efficient method to detect process …
characteristics. Multivariate control charts (MCC) are an efficient method to detect process …
Dual multivariate CUSUM mean charts
The multivariate CUSUM (MCUSUM) chart can be optimally designed to detect a specific
shift in the process mean. In practice, the shift size is rarely known but it is known that it …
shift in the process mean. In practice, the shift size is rarely known but it is known that it …