Results 51 to 60 of about 4,710 (223)

Monitoring process variation using modified EWMA [PDF]

, 2020
peer reviewedA new control chart, namely, modified exponentially weighted moving average (EWMA) control chart, for monitoring the process variance is introduced in this work by following the recommendations of Khan et al.15 The proposed control chart ...
Saghir, Aamir, Aamir Saghir, Muhammad Aslam, Liaquat Ahmad, Faraz, Alireza, Heuchenne, Cédric, Cedric Heuchenne, Aslam, Muhammad, Ahmad, Liaquat, Alireza Faraz   +9 more
core   +1 more source

Monitoring of manufacturing process using bayesian EWMA control chart under ranked based sampling designs

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, Muhammad Noor-ul-Amin, Dost Muhammad Khan, Emad A. A. Ismail, Wojciech Sumelka   +4 more
doaj   +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, K. S. Adekeye, J.‐C. Malela‐Majika   +2 more
wiley   +1 more source

Avaliação da aplicação de gráficos de controle com memória em uma indústria de papel e embalagens [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2009.A competitividade em todos os segmentos da economia mundial tem movido as empresas no sentido de
Zago, Vicenzo Augusto
core  

Data‐Driven Methods for Multiple and Dual Response Optimization on Operational Data Using Stochastic PRIM

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, Dong‐Hee Lee, Linhan Ouyang   +2 more
wiley   +1 more source

Winners and losers in subarctic moth communities in a changing climate: Marine regime shifts as predictors for terrestrial insect biomass

Insect Conservation and Diversity, EarlyView.
1972–2017, the total moth biomass ina subarctic community had a positive trend but biomass trends differ betweenmoth groups based on taxonomy, phenology and resource use. In the northern latitudes,outbreaking species impact greatly moth biomass Moth biomass is associated withtemperature variables and marine Regime shifts, which can be effective ...
Julia J. J. Fält‐Nardmann, Heta E. J. Rousi, Ilmari Juutilainen, Tommi Andersson, Betty Marjamäki, Juhani Itämies, Pekka Niemelä, Jari Hänninen   +7 more
wiley   +1 more source

Univariate and Multivariate Linear Profiles Using Max-Type Extended Exponentially Weighted Moving Average Schemes

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, Kashinath Chatterjee, Christos Koukouvinos   +2 more
doaj   +1 more source

Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk

Environmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT This paper provides a framework for measuring honey‐production risk that complements standard mean‐based analyses by explicitly targeting downside tail risk. Using hive‐weight data from a large sample of Italian hives over the period 2021–2024, downside tail risk is quantified through the Honey‐at‐Risk (HaR) metric, defined as the quantile of ...
Alessio Brini, Giacomo Toscano, Ginevra Virginia Lombardi, Maria Elvira Mancino   +3 more
wiley   +1 more source

A Study of Process Anomalies Leading to Plant Trips and The Effectiveness of a Software Tool in Trip Prevention

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, Nazatul Sheema Che Din, Hu Chee Kiong, M Amirrudin B Othman   +3 more
doaj  

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source