Results 21 to 30 of about 5,815 (232)

Explicit analytical solutions for the average run length of modified EWMA control chart for ARX(p,r) processes [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2021
Statistical process control (SPC) plays a necessary role in manufacturing industry processes. An essential tool for SPC used for monitoring, measuring, controlling, and improving quality in various fields is the control chart.
Korakoch Silpakob, Yupaporn Areepong, Saowanit Sukparungsee, Rapin Sunthornwat   +3 more
doaj   +1 more source

The development of egg hatching and storage machines equipped with cooling and heating systems and iot [PDF]

, 2021
The development of egg hatching and storage machines equipped with cooling and heating systems and IoT was for helping chicken breeders to address the issue of chicken production shortages. To produce large numbers of poultry production, eggs hatching is
Abdulrahman, Khairul Anuar, Baharudin, Nurhayati, Hussin, Muhammad Nur Aizat, Rahim, Mohd Bekri, Razali, Nizamuddin, Rozali, Mohd. Zulfadli, Yunus, Faizal Amin Nur   +6 more
core   +1 more source

A variable sampling interval EWMA t chart with auxiliary information – A robustness study in the presence of estimation error

Alexandria Engineering Journal, 2022
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, Michael B.C. Khoo, Sajal Saha, Ming Ha Lee   +3 more
doaj   +1 more source

A modified EWMA signed rank control chart for enhanced quality monitoring in the automobile industry. [PDF]

Sci Rep
Abbas T, Munir R, Abid M, Bakr ME.
europepmc   +3 more sources

An Enhanced Auxiliary Information‐Based EWMA‐t Chart for Monitoring the Process Mean

Applied Sciences, 2020
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

Modification of ARL for detecting changes on the double EWMA chart in time series data with the autoregressive model

Connection Science, 2023
This research aims to derive the average run length (ARL) evaluation of the double exponentially weighted moving average (double EWMA) control chart for observation data that follows exponential white noise in a time series model with an autoregressive ...
Kotchaporn Karoon, Yupaporn Areepong, Saowanit Sukparungsee   +2 more
doaj   +1 more source

A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process

Scientific Reports, 2023
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, Muhammad Noor-ul-Amin, Imad Khan, Salman A. AlQahtani, Uzma Yasmeen, Bakhtyar Ahmad   +5 more
doaj   +1 more source

Enhancing the performance of EWMA charts [PDF]

Quality and Reliability Engineering International, 2010
Control charts are extensively used in processes and are very helpful in determining the special cause variations so that a timely action may be taken to eliminate them. One of the charting procedures is the Shewhart‐type control charts, which are used mainly to detect large shifts.
Abbas, N., Riaz, M., Does, R.J.M.M.
openaire   +3 more sources

Revisiting the one-sided EWMA control chart

Journal of Applied Research on Industrial Engineering, 2021
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, Dastoorian, Romina, Wells, Lee   +2 more
openaire   +2 more sources

Exponentially weighted moving average-Moving average charts for monitoring the process mean.

PLoS ONE, 2020
This research aimed to propose a newly-mixed control chart called the Exponentially Weighted Moving Average-Moving Average Chart (EWMA-MA) to detect the mean change in a process underlying symmetric and asymmetric distributions.
Saowanit Sukparungsee, Yupaporn Areepong, Rattikarn Taboran   +2 more
doaj   +1 more source