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Original Articles

A binomial CUSUM chart for detecting large shifts in fraction nonconforming

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Pages 1267-1276 | Published online: 09 Oct 2008

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Read on this site (8)

Maria Anastasopoulou & Athanasios C. Rakitzis. (2022) EWMA control charts for monitoring correlated counts with finite range. Journal of Applied Statistics 49:3, pages 553-573.
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Vasileios Alevizakos & Christos Koukouvinos. (2021) Monitoring of zero-inflated binomial processes with a DEWMA control chart. Journal of Applied Statistics 48:7, pages 1319-1338.
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Salah Haridy, Mohammad Shamsuzzaman, Imad Alsyouf & Amitava Mukherjee. (2020) An improved design of exponentially weighted moving average scheme for monitoring attributes. International Journal of Production Research 58:3, pages 931-946.
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Liang Qu, Michael B.C. Khoo, Philippe Castagliola & Zhen He. (2018) Exponential cumulative sums chart for detecting shifts in time-between-events. International Journal of Production Research 56:10, pages 3683-3698.
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Shu Wu, Philippe Castagliola & Michael B. C. Khoo. (2016) Run rules based phase II c and np charts when process parameters are unknown. Communications in Statistics - Theory and Methods 45:4, pages 1182-1197.
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Salah Haridy, Zhang Wu, Kazem Abhary, Philippe Castagliola & Mohammad Shamsuzzaman. (2014) Development of a multiattribute synthetic-np chart. Journal of Statistical Computation and Simulation 84:9, pages 1884-1903.
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Salah Haridy, Zhang Wu, Songlin Chen & Sven Knoth. (2014) Binomial CUSUM chart with curtailment. International Journal of Production Research 52:15, pages 4646-4659.
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Qin Zhou, Wenpo Huang & Lianjie Shu. (2014) A comparison of weighted CUSUM procedures for monitoring process proportions with varying sample sizes. International Journal of Production Research 52:11, pages 3225-3238.
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Articles from other publishers (18)

Linli Tang & Jun Li. (2023) A nonparametric control chart for monitoring count data mean. Quality and Reliability Engineering International.
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Yu-Ching Chang. (2022) A design parameter-free geometric Kullback-Leibler information control chart for monitoring Bernoulli processes. Computers & Industrial Engineering 169, pages 108150.
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Maria Anastasopoulou & Athanasios C. Rakitzis. (2021) One‐ and two‐sided monitoring schemes for BINARCH(1) processes. Applied Stochastic Models in Business and Industry 38:2, pages 262-286.
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Maria Anastasopoulou & Athanasios C. Rakitzis. 2022. Control Charts and Machine Learning for Anomaly Detection in Manufacturing. Control Charts and Machine Learning for Anomaly Detection in Manufacturing 77 103 .
Yang Zhang, Yanfen Shang & An‐Da Li. (2020) Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes. Quality and Reliability Engineering International 37:5, pages 1847-1862.
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Muhammad Aslam, Aamir Saghir & Liaquat Ahmad. 2020. Introduction to Statistical Process Control. Introduction to Statistical Process Control 191 229 .
Zhiqiong Wang & Peihua Qiu. (2018) Count data monitoring: Parametric or nonparametric?. Quality and Reliability Engineering International 34:8, pages 1763-1774.
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Athanasios C. Rakitzis, Christian H. Weiß & Philippe Castagliola. (2017) Control charts for monitoring correlated counts with a finite range. Applied Stochastic Models in Business and Industry 33:6, pages 733-749.
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Sajid Ali, Antonio Pievatolo & Rainer Göb. (2016) An Overview of Control Charts for High‐quality Processes. Quality and Reliability Engineering International 32:7, pages 2171-2189.
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Athanasios C. Rakitzis, Petros E. Maravelakis & Philippe Castagliola. (2016) CUSUM Control Charts for the Monitoring of Zero-inflated Binomial Processes. Quality and Reliability Engineering International 32:2, pages 465-483.
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Aamir Saghir & Zhengyan Lin. (2015) Control Charts for Dispersed Count Data: An Overview. Quality and Reliability Engineering International 31:5, pages 725-739.
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Y. Lu & S. Chatterjee. (2014) Instability and change detection in exponential families and generalized linear models, with a study of Atlantic tropical storms. Nonlinear Processes in Geophysics 21:6, pages 1133-1143.
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Athanasios C. Rakitzis, Petros E. Maravelakis & Philippe C. Castagliola. (2014) A Comparative Study of Control Charts for Zero-Inflated Binomial Processes. A Comparative Study of Control Charts for Zero-Inflated Binomial Processes.
Y. Lu & S. Chatterjee. (2014) Instability and change detection in exponential families and generalized linear models, with a study of Atlantic tropical storms. Nonlinear Processes in Geophysics Discussions 1:1, pages 371-401.
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Salah Haridy, Zhang Wu, Ka Man Lee & Nadia Bhuiyan. (2013) Optimal average sample number of the SPRT chart for monitoring fraction nonconforming. European Journal of Operational Research 229:2, pages 411-421.
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Salah Haridy, Zhang Wu, Michael B.C. Khoo & Fong-Jung Yu. (2012) A combined synthetic and np scheme for detecting increases in fraction nonconforming. Computers & Industrial Engineering 62:4, pages 979-988.
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S. Haridy & Z. Wu. (2011) Synthetic-np chart for attributes. Synthetic-np chart for attributes.
John L. SzarkaIIIIII & William H. Woodall. (2011) A Review and perspective on surveillance of Bernoulli processes. Quality and Reliability Engineering International 27:6, pages 735-752.
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