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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 37, 2005 - Issue 1
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Articles

Improved Monitoring of Multivariate Process Variability

Pages 32-39 | Published online: 16 Feb 2018

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Read on this site (12)

Asifa Shahzadi & Maryam Ilyas. (2023) A new confidence interval for standardized generalized variances of k-multivariate normal populations. Communications in Statistics - Simulation and Computation 52:10, pages 5014-5023.
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Sueli A. Mingoti & Letícia P. Pinto. (2019) Step-Down diagnostic analysis for monitoring the covariance matrix of bivariate normal processes. Communications in Statistics - Simulation and Computation 48:9, pages 2615-2624.
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Muhammad Mashuri, Haryono Haryono, Diaz Fitra Aksioma, Wibawati Wibawati, Muhammad Ahsan & Hidayatul Khusna. (2019) Tr(R2) control charts based on kernel density estimation for monitoring multivariate variability process. Cogent Engineering 6:1.
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Maman Abdurachman Djauhari, Revathi Sagadavan & Lee Siaw Li. (2016) Monitoring multivariate process variability when sub-group size is small. Quality Engineering 28:4, pages 429-440.
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Shuguang He, Gang Alan Wang, Min Zhang & Deborah F. Cook. (2013) Multivariate process monitoring and fault identification using multiple decision tree classifiers. International Journal of Production Research 51:11, pages 3355-3371.
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RobertL. Mason, Youn-Min Chou & JohnC. Young. (2011) Detection and Interpretation of a Multivariate Signal Using Combined Charts. Communications in Statistics - Theory and Methods 40:5, pages 942-957.
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Eralp Doǧu & İpek Deveci Kocakoç. (2011) Estimation of Change Point in Generalized Variance Control Chart. Communications in Statistics - Simulation and Computation 40:3, pages 345-363.
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RobertL. Mason, Youn-Min Chou & JohnC. Young. (2009) Monitoring Variation in a Multivariate Process When the Dimension is Large Relative to the Sample Size. Communications in Statistics - Theory and Methods 38:6, pages 939-951.
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Guoxi Zhang & Shing I. Chang. (2008) Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis. International Journal of Production Research 46:24, pages 6855-6881.
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MamanA. Djauhari, Muhammad Mashuri & DyahE. Herwindiati. (2008) Multivariate Process Variability Monitoring. Communications in Statistics - Theory and Methods 37:11, pages 1742-1754.
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Shuguang Hao, Shiyu Zhou & Yu Ding. (2008) Multivariate Process Variability Monitoring Through Projection. Journal of Quality Technology 40:2, pages 214-226.
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Joe H. Sullivan, Zachary G. Stoumbos, Robert L. Mason & John C. Young. (2007) Step-Down Analysis for Changes in the Covariance Matrix and Other Parameters. Journal of Quality Technology 39:1, pages 66-84.
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Articles from other publishers (36)

Jimoh Olawale Ajadi, Ishaq Adeyanju Raji, Nasir Abbas & Muhammad Riaz. (2024) Detecting outliers in the multivariate control charts for dispersion monitoring. Quality and Reliability Engineering International.
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Endre Sølvsberg, Simone Arena, Fabio Sgarbossa & Per Schjølberg. 2023. Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures 426 438 .
Jimoh Olawale Ajadi, Angus Wong, Tahir Mahmood & Kevin Hung. (2021) A new multivariate CUSUM chart for monitoring of covariance matrix with individual observations under estimated parameter. Quality and Reliability Engineering International 38:2, pages 834-847.
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Rumaisa Kruba, Muhammad Mashuri & Dedy Dwi Prastyo. (2021) The effectiveness of Max‐half‐Mchart over Max‐Mchart in simultaneously monitoring process mean and variability of individual observations. Quality and Reliability Engineering International 37:6, pages 2334-2347.
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R Kruba, M Mashuri & D D Prastyo. (2021) Monitoring ZA Fertilizer Production using Multivariate Maximum Chart Based on Bootstrap Control Limit. Journal of Physics: Conference Series 1752:1, pages 012020.
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E Enjang, F S Nurdin, W Setiawan, E Subekti & D Rahmawati. (2019) Implementation of Multivariate Exponentially Weighted Mean Square (MEWMS) control chart for quality control of wing parts of Airbus aircraft at PT Dirgantara Indonesia. Journal of Physics: Conference Series 1402:7, pages 077085.
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Dariush Najarzadeh. (2019) Testing equality of standardized generalized variances of k multivariate normal populations with arbitrary dimensions. Statistical Methods & Applications 28:4, pages 593-623.
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Lijia Luo, Man Xu, Shiyi Bao, Jianfeng Mao & Chudong Tong. (2019) Improvements to the T 2 Statistic for Multivariate Fault Detection . Industrial & Engineering Chemistry Research 58:45, pages 20692-20709.
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Bofan Zhu, Yuan Xu, Yanlin He & Qunxiong Zhu. (2019) Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure. Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure.
Benben Jiang & Xiaoxiang Zhu. (2018) Latent variable modeling approach for fault detection and identification of process correlations. Transactions of the Institute of Measurement and Control 41:6, pages 1740-1749.
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Zhonghua Li & Fugee Tsung. (2018) A control scheme for monitoring process covariance matrices with more variables than observations. Quality and Reliability Engineering International 35:1, pages 351-367.
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Dyah E. Herwindiati, Janson Hendryli & Sidik Mulyono. 2019. Recent Advances in Information and Communication Technology 2018. Recent Advances in Information and Communication Technology 2018 93 103 .
Z. Zolkepley, M. A. Djauhari & R. M. Salleh. SPC in service industry: Case in teaching and learning process variability monitoring. SPC in service industry: Case in teaching and learning process variability monitoring.
Nur Syahidah Yusoff, Noryanti Mohamad, Chuan Zun Liang, Shamshuritawati Sharif & Tan Lit Ken. (2018) A network topology approach to diagnose the shift of covariance structure. MATEC Web of Conferences 189, pages 03027.
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Besse Helmi Mustawinar, Nurtiti Sunusi & Erna Tri Herdiani. Simulation on control chart in monitoring the multivariate process variability. Simulation on control chart in monitoring the multivariate process variability.
Nur Syahidah Yusoff & Shamshuritawati Sharif. Identifying influential variables in complex system: Network topology versus principal component analysis. Identifying influential variables in complex system: Network topology versus principal component analysis.
Dyah E. Herwindiati, Rahmat Sagara & Janson Hendryli. (2015) Robust kurtosis projection for multivariate outlier labeling. Robust kurtosis projection for multivariate outlier labeling.
Benben Jiang, Xiaoxiang Zhu, Dexian Huang & Richard D. Braatz. (2015) Canonical variate analysis-based monitoring of process correlation structure using causal feature representation. Journal of Process Control 32, pages 109-116.
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Tiago J. Rato & Marco S. Reis. (2015) Multiscale and megavariate monitoring of the process networked structure: M2NET. Journal of Chemometrics 29:5, pages 309-322.
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Letícia Pereira Pinto & Sueli Aparecida Mingoti. (2015) ON HYPOTHESIS TESTS FOR COVARIANCE MATRICES UNDER MULTIVARIATE NORMALITY. Pesquisa Operacional 35:1, pages 123-142.
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Tiago J. Rato & Marco S. Reis. (2015) On-line process monitoring using local measures of association: Part I — Detection performance. Chemometrics and Intelligent Laboratory Systems 142, pages 255-264.
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Revathi Sagadavan, Maman A. Djauhari & Ismail Mohamad. (2014) Estimation of population generalized variance: Application in service industry. Estimation of population generalized variance: Application in service industry.
Tiago J. Rato & Marco S. Reis. (2014) Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods. Computers & Chemical Engineering 71, pages 307-322.
Crossref
Dyah E. Herwindiati, Sani M. Isa & Janson Hendryli. (2014) Performance of robust two-dimensional principal component for classification. Performance of robust two-dimensional principal component for classification.
Tiago J. Rato & Marco S. Reis. (2014) Sensitivity enhancing transformations for monitoring the process correlation structure. Journal of Process Control 24:6, pages 905-915.
Crossref
Tiago J. Rato & Marco S. Reis. 2014. 24th European Symposium on Computer Aided Process Engineering. 24th European Symposium on Computer Aided Process Engineering 643 648 .
Dyah E. Herwindiati, Sani M. Isa & Desi Arisandi. (2013) An efficient and effective robust algorithm for the classification of Jakarta vegetation area. An efficient and effective robust algorithm for the classification of Jakarta vegetation area.
Lee Siaw Li & Maman A. Djauhari. (2012) Using combination charts to cocoa powder production process control. Using combination charts to cocoa powder production process control.
Chia‐Ling Yen, Jyh‐Jen Horng Shiau & Arthur B. Yeh. (2011) Effective Control Charts for Monitoring Multivariate Process Dispersion. Quality and Reliability Engineering International 28:4, pages 409-426.
Crossref
S. Sharif & M.A. Djauhari. (2011) An application of network topology to understand the signal in process variability: A case study in petrochemical industry. An application of network topology to understand the signal in process variability: A case study in petrochemical industry.
A. M. Noor & M. A. Djauhari. (2011) An eigenvalue control charting for process variability monitoring. An eigenvalue control charting for process variability monitoring.
S. Sharif & M. A. Djauhari. (2011) Analysis of an out-of-control signals in process variability monitoring using network topology approach. Analysis of an out-of-control signals in process variability monitoring using network topology approach.
Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement 309 352 .
Jeh‐Nan Pan & Chun‐Yi Lee. (2009) New capability indices for evaluating the performance of multivariate manufacturing processes. Quality and Reliability Engineering International 26:1, pages 3-15.
Crossref
Dyah E. Herwindiati & Sani M. Isa. 2010. Electronic Engineering and Computing Technology. Electronic Engineering and Computing Technology 397 408 .
Marcela Aparecida Guerreiro Machado, Maysa Sacramento de Magalhães & Antônio Fernando Branco Costa. (2008) Gráfico de controle de VMAX para o monitoramento da matriz de covariâncias. Production 18:2, pages 222-239.
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