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An Enhanced Double EWMA Chart for Monitoring the Process Mean Shifts
Exponentially weighted moving average (EWMA) chart is one of the well-known memory-type charts that used in detecting small to moderate disturbances...
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Enhancing process mean monitoring efficiency using extended-EWMA control chart with auxiliary information
For monitoring the outputs of production processes, statistical process control (SPC) is widely used. The control chart (CC) stands as the most...
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A study on average run length of fuzzy EWMA control chart
Quality control charts are one of the main features of statistical process control. The performance of control charts is assessed on the basis of the...
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Performance of the Auxiliary Information Based Hybrid EWMA Chart with Fast Initial Response
An integration of the fast initial response (FIR) feature into a control chart helps in increasing the shift detection speed for the process with...
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Monitoring of the COVID-19 Cases by EWMA Control Chart
The Exponentially Weighted Moving Average (EWMA) is a measurement for observance of the method that averages the information to anticipate in...
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Monitoring a BAR(1) Process with EWMA and DEWMA Control Charts
In this work we study one-sided and two-sided EWMA and Double EWMA control charts for monitoring an integer-valued autocorrelated process with a...
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A Fast Initial Response Double EWMA Chart for Process Mean
The performance of a control chart can be affected by an inefficient start-up setting and ineffective corrective action following an out of-control...
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Fast Initial Response for Auxiliary Information Based EWMA Chart for the Process Mean
Numerous studies have shown that the control charts with the fast initial response (FIR) feature result in a quicker detection of early off-target...
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A trimmed EWMA control charts for non-normal processes
The traditional exponentially weighted moving average (EWMA) control chart is very popular in statistical process control (SPC) for detecting small...
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One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors
Online monitoring of the multivariate coefficient of variation (MCV) can be of interest in many real situations in which the dispersion of a...
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On Designing a Progressive EWMA Structure for an Efficient Monitoring of Silicate Enactment in Hard Bake Processes
Statistical process control provides package of statistical tools applied for improving quality of manufacturing, production and services processes....
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Experimental evaluation for detecting bevel gear failure using univariate statistical control charts
This study investigates the detection of crack faults in bevel gears with a new method based on univariate statistical control charts (USCCs). The...
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An EWMA Chart with Varying Sample Interval to Monitor Calibration Processes
A measurement assurance program considers the periodic calibration of measuring instruments to verify that their accuracy and precision are kept...
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Dynamic Modeling of the Gear Transmission for Detecting the Separate and Simultaneous Tooth Fracture Using the Statistical Process Control Technique
Dynamic models of transmission systems have long been used to study the behavior of vibration response and its impact on gear fault detection. This...
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Exponentially Weighted Moving Average Control Chart for Fault Detection of the Spur Gear Transmission System
A tooth fracture is one of the most common failures in the gear systems used in industrial sectors and manufacturing. In order to prevent fracture...
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Statistical design of a VSI-EWMA control chart for monitoring the communications among individuals in a weighted social network
Recently, social network monitoring has attracted much attention because it helps to governments for preventing social challenges. Most of the...
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A Wavelet-Based Statistical Control Chart Approach for Monitoring and Detection of Spur Gear System Faults
Gears are one of the essential transmission systems in various industry sectors. The gear faults are widespread due to the severe conditions of their...
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On the effect of the measurement error on Shewhart t and EWMA t control charts
In the industrial practice, control charts are frequently implemented assuming that the quality characteristic of interest can be accurately measured...
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Federated Learning with Exponentially Weighted Moving Average for Real-Time Emotion Classification
Federated learning (FL) allows to develop a powerful shared prediction model while preserving the users’ privacy by kee** the data local. In...
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A Variable Sampling Interval EWMA \(\overline{X}\) Chart for the Mean with Auxiliary Information
It is a well-known fact that the exponentially weighted moving average (EWMA) type control chart is very effective in detecting small and moderate...