Results 41 to 50 of about 13,618 (198)
Neutrosophic multivariate EWMA control chart
Decision Science Letters, 2023 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
Quality and Reliability Engineering International, EarlyView.ABSTRACT In modern manufacturing environments, traditional statistical process control (SPC) methods often struggle with complex, dynamic data patterns, particularly when observations are autocorrelated. Control charts are useful tools used in SPC to detect any significant drift in a process.
Jeanette Maria Louw +3 more
wiley +1 more source
Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
Quality and Reliability Engineering International, EarlyView.ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley +1 more source
Platform, a Journal of Engineering, 2021 In the hydrocarbon process industry, financial losses resulting from plant trips can be significant. In this study, reliability loss events or trips in 2018 at a sizeable hydrocarbon process plant are analysed to determine if they were preventable.
Ahmad Rizal Mohamed +3 more
doaj
A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation
Quality and Reliability Engineering International, EarlyView.ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley +1 more source
Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes
Quality and Reliability Engineering International, EarlyView.ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke +2 more
wiley +1 more source
Scientific Reports, 2023 Control charts, including exponentially moving average (EWMA) , are valuable for efficiently detecting small to moderate shifts. This study introduces a Bayesian EWMA control chart that employs ranked set sampling (RSS) with known prior information and ...
Imad Khan +4 more
doaj +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Upon establishing multiple response optimization (MRO) or dual response optimization (DRO), response surface methodology (RSM) acts as a conventional model‐driven framework for optimizing small‐sized experimental data to derive an input condition in which a decent response is expected.
Dong‐Hyun Koo +2 more
wiley +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
IEEE Access, 2022 Many studies have shown that industrial as well as non-industrial business organisations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality characteristics simultaneous.
Jean-Claude Malela-Majika +2 more
doaj +1 more source