Results 21 to 30 of about 420,626 (277)
This article proposes the variable sampling interval (VSI) exponentially weighted moving average (EWMA) t chart for the process mean using auxiliary information (AI) (denoted as the VSI EWMA t-AI chart).
Peh Sang Ng +3 more
doaj +1 more source
Trend Autoregressive Model Exact Run Length Evaluation on a Two-Sided Extended EWMA Chart
The Extended Exponentially Weighted Moving Average (extended EWMA) control chart is one of the control charts and can be used to quickly detect a small shift. The performance of control charts can be evaluated with the average run length ( ARL).
Kotchaporn Karoon +2 more
semanticscholar +1 more source
Max-EWMA chart for time and magnitude monitoring using generalized exponential distribution
Joint monitoring of time and magnitude is an important issue in many industrial and non-industrial fields and several proposals exist in the literature.
Ayesha Talib, Sajid Ali, Ismail Shah
semanticscholar +1 more source
Max-EWMA Chart Using Beta and Simplex Distributions for Time and Magnitude Monitoring
Control charts are used to detect assignable causes in different manufacturing and nonmanufacturing processes. This study presents a new maximum exponentially weighted moving average (Max-EWMA) chart for joint unit interval time and magnitude monitoring.
Sajid Ali +2 more
semanticscholar +1 more source
Monitoring process mean and variability with one triple EWMA chart
Control charts are very popular quality tools used to detect and control industrial process deviations in Statistical Process Control. In the current paper, we propose a new single memory-type control chart, called the maximum triple exponentially ...
K. Chatterjee, C. Koukouvinos, A. Lappa
semanticscholar +1 more source
Neutrosophic multivariate EWMA control chart
The MEWMA chart is one of the traditional multivariate charts which are widely employed in inspecting the quality of manufacturing and services. This chart is created through monitoring the small shifts of mean vectors of variable quality characteristics.
Wibawati Wibawati +2 more
openaire +2 more sources
EWMA Chart and Measurement Error [PDF]
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving linear covariates.
Maravelakis, Petros +2 more
openaire +2 more sources
An Enhanced Auxiliary Information‐Based EWMA‐t Chart for Monitoring the Process Mean
The exponentially weighted moving average t chart using auxiliary information (AIB-EWMA-t chart) is an effective approach for monitoring small process mean shifts when the process standard deviation is unstable or poorly estimated. To further enhance the
Jen‐Hsiang Chen, Shin‐Li Lu
doaj +1 more source
Revisiting the one-sided EWMA control chart
Exponential Weighted Moving Average (EWMA) control charts have been widely used in Statistical Process Control (SPC) to detect small and persistent process shifts. In theory, EWMA control limits monotonically increase over time to account for the continual growth of the EWMA statistic’s variance. However, these control limits are often assumed constant
DuongTran, Duy +2 more
openaire +2 more sources
In this article, we introduce a novel Bayesian Max-EWMA control chart under various loss functions to concurrently monitor the mean and variance of a normally distributed process.
Javed Iqbal +5 more
doaj +1 more source

