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Original Articles

A New Two-Sided Cumulative Sum Quality Control Scheme

Pages 187-194 | Published online: 23 Mar 2012

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (59)

Abdul Haq & Qamar Ali. (2024) A maximum dual CUSUM chart for joint monitoring of process mean and variance. Quality Technology & Quantitative Management 21:3, pages 287-308.
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Fadel M. Megahed, Ying-Ju Chen, Joshua A. Ferris, Sven Knoth & L. Allison Jones-Farmer. (2024) How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. Quality Engineering 36:2, pages 287-315.
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Selcem Adsız & Burcu Aytaçoğlu. (2024) Tukey-EWMA control chart with variable sampling intervals for process monitoring. Quality Engineering 36:2, pages 249-272.
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Abdul Haq & Ehsana Anum Syed. (2024) Enhanced CUSUM and dual CUSUM mean charts. Communications in Statistics - Theory and Methods 53:6, pages 1906-1941.
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Abdul Haq, Mehwish Naz & Michael B. C. Khoo. (2024) Single and dual reference-free CUSCORE charts for detecting unknown patterned mean shifts. Journal of Statistical Computation and Simulation 94:3, pages 484-498.
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Dadasaheb G. Godase & Shashibhushan B. Mahadik. (2024) The combined Shewhart-CUSUM sign charts. Communications in Statistics - Simulation and Computation 53:1, pages 357-366.
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Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall & Víctor G. Tercero-Gómez. (2023) A critique of a variety of “memory-based” process monitoring methods. Journal of Quality Technology 55:1, pages 18-42.
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Daniel Ashagrie Tegegne, Daniel Kitaw & Eshetie Berhan. (2022) Advances in statistical quality control chart techniques and their limitations to cement industry. Cogent Engineering 9:1.
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Abdul Haq, Mehwish Bibi & Burhan Ali Shah. (2022) A novel approach to monitor simple linear profiles using individual observations. Communications in Statistics - Simulation and Computation 51:11, pages 6269-6282.
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Eftychia Mamzeridou & Athanasios C. Rakitzis. (2022) Synthetic-type control charts for monitoring general inflated poisson processes. Communications in Statistics - Simulation and Computation 0:0, pages 1-15.
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Abdul Haq, Nazish Bibi, Michael B. C. Khoo & Jennifer Brown. (2022) Monitoring the process coefficient of variation without subgrouping. Journal of Statistical Computation and Simulation 92:9, pages 1805-1822.
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Patrick D. Bourke. (2022) CUSUM design for detection of event-rate increases for a Poisson process. Quality Engineering 34:1, pages 36-51.
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Abdul Haq & Lubna Bibi. (2022) The dual CUSUM charts with auxiliary information for process mean. Communications in Statistics - Simulation and Computation 51:1, pages 164-189.
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Sven Knoth. (2021) Steady-state average run length(s): Methodology, formulas, and numerics. Sequential Analysis 40:3, pages 405-426.
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Zameer Abbas, Hafiz Zafar Nazir, Muhammad Abid, Noureen Akhtar & Muhammad Riaz. (2021) Nonparametric progressive sign chart for monitoring process location based on individual data. Quality Technology & Quantitative Management 18:2, pages 225-247.
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Jin Yue, Na Zhao & Liu Liu. (2020) Prediction and Monitoring Method for Breast Cancer: A Case Study for Data from the University Hospital Centre of Coimbra. Cancer Management and Research 12, pages 1887-1893.
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Yu An, Di Wang & Xi Zhang. (2020) A novel local temperature change detection approach in a 3D thermal field. Quality Technology & Quantitative Management 17:6, pages 723-737.
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Saba Abbasi & Abdul Haq. (2020) New adaptive CUSUM charts for process mean. Communications in Statistics - Simulation and Computation 49:11, pages 2944-2962.
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Abdul Haq & Faiqa Razzaq. (2020) Maximum weighted adaptive CUSUM charts for simultaneous monitoring of process mean and variance. Journal of Statistical Computation and Simulation 90:16, pages 2949-2974.
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Abdul Haq & Michael B. C. Khoo. (2020) Multivariate process dispersion monitoring without subgrouping. Journal of Applied Statistics 47:9, pages 1652-1675.
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Patrick D. Bourke. (2020) Detecting a downward shift in a proportion using a geometric CUSUM chart. Quality Engineering 32:1, pages 75-90.
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Saba Abbasi & Abdul Haq. (2019) Enhanced adaptive CUSUM charts for process mean. Journal of Statistical Computation and Simulation 89:13, pages 2562-2582.
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Abdul Haq & Michael B. C. Khoo. (2019) A new non-parametric multivariate EWMA sign control chart for monitoring process dispersion. Communications in Statistics - Theory and Methods 48:15, pages 3703-3716.
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Sebastian Ottenstreuer, Christian H. Weiß & Sven Knoth. (2019) A combined Shewhart-CUSUM chart with switching limit. Quality Engineering 31:2, pages 255-268.
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Abdul Haq, Zain Ul Abidin & Michael B. C. Khoo. (2019) An enhanced EWMA- control chart for monitoring the process mean. Communications in Statistics - Theory and Methods 48:6, pages 1333-1350.
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Sandile C. Shongwe & Marien A. Graham. (2019) Some theoretical comments regarding the run-length properties of the synthetic and runs-rules monitoring schemes – part 2: steady-state. Quality Technology & Quantitative Management 16:2, pages 190-199.
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Abdul Haq. (2018) A new adaptive EWMA control chart using auxiliary information for monitoring the process mean. Communications in Statistics - Theory and Methods 47:19, pages 4840-4858.
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Abdul Haq & Waqas Munir. (2018) Improved CUSUM charts for monitoring process mean. Journal of Statistical Computation and Simulation 88:9, pages 1684-1701.
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Olha Bodnar & Wolfgang Schmid. (2017) CUSUM control schemes for monitoring the covariance matrix of multivariate time series. Statistics 51:4, pages 722-744.
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X.L. Hu, P. Castagliola, J.S. Sun & M.B.C. Khoo. (2016) Economic design of the upper-sided synthetic chart with measurement errors. International Journal of Production Research 54:19, pages 5651-5670.
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Sven Knoth. (2016) The Case Against the Use of Synthetic Control Charts. Journal of Quality Technology 48:2, pages 178-195.
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Kaibo Liu, Yajun Mei & Jianjun Shi. (2015) An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. Technometrics 57:3, pages 305-319.
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S. K. Khilare & D. T. Shirke. (2014) The Steady-State Performance of Cumulative Count of a Conforming Control Chart Based On Runs Rules. Communications in Statistics - Theory and Methods 43:15, pages 3135-3147.
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Zhonghua Li, Changliang Zou, Zhen Gong & Zhaojun Wang. (2014) The computation of average run length and average time to signal: an overview. Journal of Statistical Computation and Simulation 84:8, pages 1779-1802.
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Francisco Aparisi, Eugenio K. Epprecht & Omar Ruiz. (2012) T2 Control Charts with Variable Dimension. Journal of Quality Technology 44:4, pages 375-393.
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Michael B. C. Khoo, V.H. Wong, Zhang Wu & Philippe Castagliola. (2012) Optimal design of the synthetic chart for the process mean based on median run length. IIE Transactions 44:9, pages 765-779.
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Petros E. Maravelakis. (2012) Measurement error effect on the CUSUM control chart. Journal of Applied Statistics 39:2, pages 323-336.
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Patrick D. Bourke. (2008) Performance Comparisons for the Synthetic Control Chart for Detecting Increases in Fraction Nonconforming. Journal of Quality Technology 40:4, pages 461-475.
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Paul F. Zantek. (2008) A Markov-chain method for computing the run-length distribution of the self-starting cumulative sum scheme. Journal of Statistical Computation and Simulation 78:5, pages 463-473.
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George Nenes & George Tagaras. (2007) An economic comparison of CUSUM and Shewhart charts. IIE Transactions 40:2, pages 133-146.
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Lianjie Shu, Wei Jiang & Shujin Wu. (2007) A One-Sided EWMA Control Chart for Monitoring Process Means. Communications in Statistics - Simulation and Computation 36:4, pages 901-920.
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Zhang Wu & Qinan Wang. (2007) A single CUSUM chart using a single observation to monitor a variable. International Journal of Production Research 45:3, pages 719-741.
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Lianjie Shu & Wei Jiang. (2006) A Markov Chain Model for the Adaptive CUSUM Control Chart. Journal of Quality Technology 38:2, pages 135-147.
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PatrickD. Bourke. (2006) The RL2 chart versus the np chart for detecting upward shifts in fraction defective. Journal of Applied Statistics 33:1, pages 1-15.
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Zhang Wu & Yu Tian. (2005) Weighted-loss-function CUSUM chart for monitoring mean and variance of a production process. International Journal of Production Research 43:14, pages 3027-3044.
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PatrickD. Bourke. (2001) The geometric CUSUM chart with sampling inspection for monitoring fraction defective. Journal of Applied Statistics 28:8, pages 951-972.
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Lewis N. Vanbrackle$suffix/text()$suffix/text() & Marion R Reynolds$suffix/text()$suffix/text(). (1997) EVVMA and cusum control charts in the presence of correlation. Communications in Statistics - Simulation and Computation 26:3, pages 979-1008.
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Susan L. Albin, Lan Kang & Gerald Shea. (1997) An X and EWMA Chart for Individual Observations. Journal of Quality Technology 29:1, pages 41-48.
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Marion R. Reynolds$suffix/text()$suffix/text(). (1995) Evaluating properties of variable sampling interval control charts. Sequential Analysis 14:1, pages 59-97.
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Chuen-Sheng Cheng. (1995) A cumulative score control scheme for detecting process shifts. Communications in Statistics - Theory and Methods 24:3, pages 755-774.
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GEORGEC. RUNGER & DOUGLASC. MONTGOMERY. (1993) ADAPTIVE SAMPLING ENHANCEMENTS FOR SHEWHART CONTROL CHARTS. IIE Transactions 25:3, pages 41-51.
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Charles W. Champ. (1992) Steady-state run length analysis of a shewhart quality control chart with supplementary runs rules. Communications in Statistics - Theory and Methods 21:3, pages 765-777.
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George C. Runger & Joseph J. Pignatiello$suffix/text()$suffix/text(). (1991) Adaptive Sampling for Process Control. Journal of Quality Technology 23:2, pages 135-155.
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MarionR. Reynolds, RaidW. Amin & JesseC. Arnold. (1990) CUSUM Charts With Variable Sampling Intervals. Technometrics 32:4, pages 371-384.
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JamesM. Lucas & MichaelS. Saccucci. (1990) Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements. Technometrics 32:1, pages 1-12.
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RonaldB. Crosier. (1988) Multivariate Generalizations of Cumulative Sum Quality-Control Schemes. Technometrics 30:3, pages 291-303.
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