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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 22, 1990 - Issue 3
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Articles

Comparisons of Multivariate CUSUM Charts

Joseph J. Pignatiello Jr.The University of Iowa, Iowa City, Iowa52242View further author information
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George C. RungerInternational Business Machines, Inc., Tucson, Arizona85744View further author information
Pages 173-186 | Published online: 21 Feb 2018

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Zwelakhe Magagula, Jean-Claude Malela-Majika, Schalk William Human, Philippe Castagliola, Kashinath Chatterjee & Christos Koukouvinos. (2024) Closed-form expressions of the run-length distribution of the nonparametric double sampling precedence monitoring scheme. Computational Statistics.
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Abdul Haq & Michael B. C. Khoo. (2024) Directionally sensitive adaptive MEWMA charts with fixed and variable sampling rates. Quality and Reliability Engineering International.
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Zhen Gao, Xingqun Zhan & Rong Yang. (2024) RTK ramp faults detection and exclusion by the hybrid control chart. Advances in Space Research 73:3, pages 2060-2079.
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Zhen Wang, Jiandong Wang & Jilin Hou. (2024) Multivariate Alarm Monitoring for Non-Convex Normal Operating Zones Based on Search Cones. IEEE Transactions on Automation Science and Engineering 21:1, pages 452-462.
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Fatmanur GÖÇER & Sinem BÜYÜKSAATÇI KİRİŞ. (2023) A BIBLIOMETRIC ANALYSIS OF QUALITY CONTROL CHARTSKALİTE KONTROL ÇİZELGELERİNİN BİBLİYOMETRİK ANALİZİ. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi 11:2, pages 263-282.
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Rostyslav Bodnar, Taras Bodnar & Wolfgang Schmid. (2022) Sequential monitoring of high‐dimensional time series. Scandinavian Journal of Statistics 50:3, pages 962-992.
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Wilson Rojas-Preciado, Mauricio Rojas-Campuzano, Purificación Galindo-Villardón & Omar Ruiz-Barzola. (2023) Control Chart T2Qv for Statistical Control of Multivariate Processes with Qualitative Variables. Mathematics 11:12, pages 2595.
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Kung‐Jeng Wang & Luh Juni Asrini. (2023) Multivariate auto‐correlated process control by a residual‐based mixed CUSUM‐EWMA model. Quality and Reliability Engineering International 39:4, pages 1120-1142.
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Tim J. Arciszewski. (2023) A Review of Control Charts and Exploring Their Utility for Regional Environmental Monitoring Programs. Environments 10:5, pages 78.
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Danyao Shen, Fengchao Zhu, Zhanpeng Zhang & Xiaodong Mu. (2023) Radio Frequency Fingerprint Identification Based on Metric Learning. International Journal of Information Technologies and Systems Approach 16:3, pages 1-13.
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Panpan Zhou, Wei Wang, Dennis K. J. Lin & Yang Liu. (2023) A novel criterion based on continuous ranked probability score for performance evaluation of control charts. Quality and Reliability Engineering International.
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Wei Jiang, Terrence E. Murphy, Kwok-Leung Tsui & Yang Zhao. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 199 220 .
Konstantinos Bisiotis, Stelios Psarakis & Athanasios N. Yannacopoulos. (2022) Affine Term Structure Models: Applications in Portfolio Optimization and Change Point Detection. Mathematics 10:21, pages 4094.
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Sangahn Kim & Mehmet Turkoz. (2021) Bayesian sequential update for monitoring and control of high-dimensional processes. Annals of Operations Research 317:2, pages 693-715.
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I. Dittrich, M. Gertz, B. Maassen-Francke, K.-H. Krudewig, W. Junge & J. Krieter. (2022) Estimating risk probabilities for sickness from behavioural patterns to identify health challenges in dairy cows with multivariate cumulative sum control charts. animal 16:8, pages 100601.
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Imane Mjimer, ES-Saadia Aoula & EL Hassan Achouyab. (2021) Monitoring of overall equipment effectiveness by multivariate statistical process control. International Journal of Lean Six Sigma 13:4, pages 847-862.
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Daniel Ashagrie Tegegne, Daniel Kitaw Azene & Eshetie Berhan Atanaw. (2022) Design multivariate statistical process control procedure in the case of Ethio cement. International Journal of Quality & Reliability Management 39:7, pages 1617-1636.
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Honghan Ye & Kaibo Liu. (2022) A Generic Online Nonparametric Monitoring and Sampling Strategy for High-Dimensional Heterogeneous Processes. IEEE Transactions on Automation Science and Engineering 19:3, pages 1503-1516.
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Wanli Yao, Donghui Li & Long Gao. (2022) Fault detection and diagnosis using tree-based ensemble learning methods and multivariate control charts for centrifugal chillers. Journal of Building Engineering 51, pages 104243.
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Nurudeen A. Adegoke, Abdaljbbar Dawod, Olatunde Adebayo Adeoti, Ridwan A. Sanusi & Saddam Akber Abbasi. (2022) Monitoring multivariate coefficient of variation for high‐dimensional processes. Quality and Reliability Engineering International 38:5, pages 2606-2621.
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Muhammad Riaz, Babar Zaman, Ishaq Adeyanju Raji, M. Hafidz Omar, Rashid Mehmood & Nasir Abbas. (2022) An Adaptive EWMA Control Chart Based on Principal Component Method to Monitor Process Mean Vector. Mathematics 10:12, pages 2025.
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Hyeon-Ah Kang. (2022) Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring. Psychometrika.
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Jean‐Claude Malela‐Majika, Kashinath Chatterjee & Christos Koukouvinos. (2021) A multivariate triple exponentially weighted moving average control chart. Quality and Reliability Engineering International 38:4, pages 1558-1589.
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Konstantinos Bisiotis, Stelios Psarakis & Athanasios N. Yannacopoulos. (2021) Control charts in financial applications: An overview. Quality and Reliability Engineering International 38:3, pages 1441-1462.
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Abdul Haq & Michael B. C. Khoo. (2021) A novel partially parameter‐free adaptive multivariate EWMA mean chart. Quality and Reliability Engineering International 38:1, pages 574-591.
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Sudarat Nidsunkid, Mena Lao & Jeeraporn Thaithanan. (2021) The impact of a random vector with variables from normal and non‐normal distributions on multivariate control charts. Quality and Reliability Engineering International 38:1, pages 447-471.
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Rashid Mehmood, Muhammad Riaz, Muhammad Hisyam Lee, Iftikhar Ali & Mona Gharib. (2022) Exact computational methods for univariate and multivariate control charts under runs rules. Computers & Industrial Engineering 163, pages 107821.
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Hakan Eygü. 2022. Advances in Econometrics, Operational Research, Data Science and Actuarial Studies. Advances in Econometrics, Operational Research, Data Science and Actuarial Studies 99 115 .
Anna Malinovskaya & Philipp Otto. (2021) Online network monitoring. Statistical Methods & Applications 30:5, pages 1337-1364.
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Saddam Akbar Abbasi, Tahir Abbas & Nurudeen Adedayo Adegoke. (2021) Improved simple linear profiling method with application to chemical gas sensors. Quality and Reliability Engineering International 37:8, pages 3179-3191.
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M Mashuri, H Khusna, Wibawati & F D Putri. (2021) Mixed Multivariate EWMA-CUSUM (MEC) Chart based on MLS-SVR Model for Monitoring Drinking Water Quality. Journal of Physics: Conference Series 2123:1, pages 012019.
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Abdul Haq & Michael B.C. Khoo. (2021) Enhanced directionally sensitive and directionally invariant MCUSUM and MEWMA charts for process mean. Computers & Industrial Engineering 161, pages 107635.
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Takumi SARUHASHI, Masato OHKUBO, Yuma UENO & Yasushi NAGATA. (2021) Setting Control Limits in a Multivariate Exponentially Weighted Moving Likelihood Control ChartSetting Control Limits in a Multivariate Exponentially Weighted Moving Likelihood Control Chart. Total Quality Science 6:3, pages 84-90.
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Abdul Haq, Komal Sohrab & Michael B. C. Khoo. (2021) Directionally sensitive weighted adaptive multivariate CUSUM mean charts. Quality and Reliability Engineering International 37:6, pages 2970-2988.
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Sina Kazemi, Rassoul Noorossana, Mohammad Rasouli, Mohamad R. Nayebpour & Kamran Heidari. (2021) Monitoring therapeutic processes using risk‐adjusted multivariate Tukey's CUSUM control chart. Quality and Reliability Engineering International 37:6, pages 2818-2833.
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Muhammad Riaz, Babar Zaman, Rashid Mehmood, Nasir Abbas & Mu'azu Abujiya. (2021) Advanced multivariate cumulative sum control charts based on principal component method with application. Quality and Reliability Engineering International 37:6, pages 2760-2789.
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Jimoh Olawale Ajadi, Kevin Hung, Muhammad Riaz, Nurudeen Ayobami Ajadi & Tahir Mahmood. (2021) On the multivariate progressive control chart for effective monitoring of covariance matrix. Quality and Reliability Engineering International 37:6, pages 2724-2737.
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Su‐Fen Yang, Yi‐Chi Lin & Arthur B. Yeh. (2021) A Phase II depth‐based variable dimension EWMA control chart for monitoring process mean. Quality and Reliability Engineering International 37:6, pages 2384-2398.
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I. Dittrich, M. Gertz, B. Maassen-Francke, K.-H. Krudewig, W. Junge & J. Krieter. (2021) Variable selection for monitoring sickness behavior in lactating dairy cattle with the application of control charts. Journal of Dairy Science 104:7, pages 7956-7970.
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I. Dittrich, M. Gertz, B. Maassen-Francke, K.-H. Krudewig, W. Junge & J. Krieter. (2021) Combining multivariate cumulative sum control charts with principal component analysis and partial least squares model to detect sickness behaviour in dairy cattle. Computers and Electronics in Agriculture 186, pages 106209.
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Abdul Haq & Komal Sohrab. (2021) Directionally sensitive MCUSUM mean charts. Quality and Reliability Engineering International 37:5, pages 2169-2188.
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Chiraag Kaushik, T. Mitchell Roddenberry & Santiago Segarra. (2021) Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures.
Chelsea L. Jones, Abdel‐Salam G. Abdel‐Salam & D'Arcy Mays. (2020) Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring. Quality and Reliability Engineering International 37:3, pages 857-881.
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Rashid MEHMOOD, Muhammad Hisyam LEE, Iftikhar ALİ & Muhammad RIAZ. (2021) Comparative analysis between FAR and ARL based control charts with runs rules. Hacettepe Journal of Mathematics and Statistics 50:1, pages 275-288.
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FuPeng Xie, JinSheng Sun, Philippe Castagliola, XueLong Hu & Anan Tang. (2020) A multivariate CUSUM control chart for monitoring Gumbel's bivariate exponential data. Quality and Reliability Engineering International 37:1, pages 10-33.
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Yarema Okhrin, Wolfgang Schmid & Ivan Semeniuk. (2021) New Approaches for Monitoring Image Data. IEEE Transactions on Image Processing 30, pages 921-933.
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Nurudeen A. Adegoke, Muhammad Riaz, Khadijat Oladayo Ganiyu & Saddam Akber Abbasi. (2021) One-Sided and Two One-Sided Multivariate Homogeneously Weighted Moving Charts for Monitoring Process Mean. IEEE Access 9, pages 80388-80404.
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Fouzi Harrou, Ying Sun, Amanda S. Hering, Muddu Madakyaru & Abdelkader Dairi. 2021. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches 19 70 .
Yarema Okhrin, Wolfgang Schmid & Ivan Semeniuk. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13 143 163 .
Bo-Ru Lai & Hsiuying Wang. 2021. Behavioral Predictive Modeling in Economics. Behavioral Predictive Modeling in Economics 153 170 .
Rashid Mehmood, Muhammad Hisyam Lee, Iftikhar Ali, Muhammad Riaz & Shahid Hussain. (2020) Multivariate cumulative sum control chart and measure of process capability based on bivariate ranked set schemes. Computers & Industrial Engineering 150, pages 106891.
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Abdaljbbar B.A. Dawod, Nurudeen A. Adegoke & Saddam Akbar Abbasi. (2020) Efficient linear profile schemes for monitoring bivariate correlated processes with applications in the pharmaceutical industry. Chemometrics and Intelligent Laboratory Systems 206, pages 104137.
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Xingjian Tu & Xuemin Zi. (2020) On-line Change Detection with Practical Importance. On-line Change Detection with Practical Importance.
I. Karpunina & V. Klyachkin. (2020) Principal Components Method for Statistical Control of Hydraulic Unit Vibration Stability. Principal Components Method for Statistical Control of Hydraulic Unit Vibration Stability.
Rahul Raveendran & Biao Huang. (2020) Conjugate exponential family graphical models in process monitoring: A tutorial review. Chemometrics and Intelligent Laboratory Systems 204, pages 104095.
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Gurkan Aydemir & Burak Acar. (2020) Anomaly monitoring improves remaining useful life estimation of industrial machinery. Journal of Manufacturing Systems 56, pages 463-469.
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