Results 31 to 40 of about 3,947 (212)

A Fuzzy EWMA Attribute Control Chart to Monitor Process Mean

Information, 2018
Conventional control charts are one of the most important techniques in statistical process control which are used to assess the performance of processes to see whether they are in- or out-of-control.
Muhammad Zahir Khan, Muhammad Farid Khan, Muhammad Aslam, Seyed Taghi Akhavan Niaki, Abdur Razzaque Mughal   +4 more
doaj   +1 more source

Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index [PDF]

, 2017
The problem of developing a product acceptance determination procedure for multiple characteristics has attracted the quality assurance practitioners. Due to sufficient demands of consumers, it may not be possible to deliver the quantity ordered on time ...
Arif, O.H., Aslam, M., Jun, C.-H.
core   +1 more source

A Weibull process monitoring with AEWMA control chart: an application to breaking strength of the fibrous composite

Scientific Reports, 2023
In recent times, there has been a growing focus among researchers on memory-based control charts. The Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) charts and the adaptive control charting approaches got the attention.
Muhammad Atif Sarwar, Muhammad Noor-ul-Amin, Imad Khan, Emad A. A. Ismail, Wojciech Sumelka, Muhammad Nabi   +5 more
doaj   +1 more source

Adaptive multivariate dispersion control chart with application to bimetal thermostat data

Scientific Reports, 2023
Adaptive EWMA (AEWMA) control charts have gained remarkable recognition by monitoring productions over a wide range of shifts. The adaptation of computational statistic as per system shift is the main aspect behind the proficiency of these charts.
Muhammad Noor-ul-Amin, Muhammad Atif Sarwar, Walid Emam, Yusra Tashkandy, Uzma Yasmeen, Muhammad Nabi   +5 more
doaj   +1 more source

A Time Truncated Moving Average Chart for the Weibull Distribution [PDF]

, 2017
A control chart of monitoring the number of failures is proposed with a moving average scheme, when the life of an item follows a Weibull distribution.
Alghamdi, S.A.D., Aslam, M., Jun, C.-H., Khan, K.   +3 more
core   +1 more source

Design of moving average chart and auxiliary information based chart using extended EWMA

Scientific Reports, 2023
The control chart is the most valuable tool in the manufacturing process to track the output process in the industries. Quality specialists always want a visual framework that recognizes sustainable improvements in the monitoring processes.
Muhammad Naveed, Muhammad Azam, Muhammad Shujaat Nawaz, Muhammad Saleem, Muhammad Aslam, Muhammad Saeed   +5 more
doaj   +1 more source

An adaptive multivariate functional EWMA control chart

Journal of Quality Technology
In many modern industrial scenarios, the measurements of the quality characteristics of interest are often required to be represented as functional data or profiles. This motivates the growing interest in extending traditional univariate statistical process monitoring (SPM) schemes to the functional data setting. This article proposes a new SPM scheme,
Capezza, Christian, Capizzi, Giovanna, Centofanti, Fabio, Lepore, Antonio, Palumbo, Biagio   +4 more
openaire   +3 more sources

Bootstrapped-based cumulative sum and exponentially weighted moving average control charts: Enhanced process control

Scientific African
This study addresses challenges in Phase II univariate process control, where in-control data exists but underlying process distributions are unknown.
Joseph Odunayo Braimah, Nnamdi Edike, Fabio Mathias Correa   +2 more
doaj   +1 more source

Nonparametric Double EWMA Control Chart for Process Monitoring

Revista Colombiana de Estadística, 2016
<p>In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical sit- uations, we may not know the distributional behavior of the data, and hence, the need arises use nonparametric techniques.
RIAZ, MUHAMMAD, ABBASI, SADDAM AKBER
openaire   +5 more sources

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