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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 36, 2004 - Issue 4
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Articles

Should Observations Be Grouped for Effective Process Monitoring?

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Pages 343-366 | Published online: 16 Feb 2018

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William H. Woodall, Abdul Haq, Mahmoud A. Mahmoud & Nesma A. Saleh. (2024) Reevaluating the performance of control charts based on ranked-set sampling. Quality Engineering 36:2, pages 365-370.
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Wai Chung Yeong, Yen Yoon Tan, Sok Li Lim, Khai Wah Khaw & Michael Boon Chong Khoo. (2024) Variable sample size and sampling interval (VSSI) and variable parameters (VP) run sum charts for the coefficient of variation. Quality Technology & Quantitative Management 21:2, pages 177-199.
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Victor Hugo Morales & Jose Alberto Vargas. (2022) The effect of aggregating multivariate count data using Poisson profiles. Communications in Statistics - Simulation and Computation 51:5, pages 2646-2666.
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YuLong Qiao, JinSheng Sun, Philippe Castagliola & XueLong Hu. (2022) Optimal design of one-sided exponential EWMA charts based on median run length and expected median run length. Communications in Statistics - Theory and Methods 51:9, pages 2887-2907.
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Inez M. Zwetsloot & William H. Woodall. (2021) A Review of Some Sampling and Aggregation Strategies for Basic Statistical Process Monitoring. Journal of Quality Technology 53:1, pages 1-16.
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Tahir Nawaz & Dong Han. (2020) Monitoring the process location by using new ranked set sampling-based memory control charts. Quality Technology & Quantitative Management 17:3, pages 255-284.
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Mohammad Shamsuzzaman, Salah Haridy, Imad Alsyouf & Abdur Rahim. (2020) Design of economic X̄ chart for monitoring electric power loss through transmission and distribution system. Total Quality Management & Business Excellence 31:5-6, pages 503-523.
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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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Muhammad Ali Raza, Tahir Nawaz & Dong Han. (2019) On designing new optimal synthetic Tukey’s control charts. Journal of Statistical Computation and Simulation 89:12, pages 2218-2238.
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Saba Abbasi & Abdul Haq. (2019) Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean. Journal of Statistical Computation and Simulation 89:2, pages 337-361.
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Liang Qu, Shuguang He, Michael B. C. Khoo & Philippe Castagliola. (2018) A CUSUM chart for detecting the intensity ratio of negative events. International Journal of Production Research 56:19, pages 6553-6567.
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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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Yuan Cheng, Lirong Sun & Baocai Guo. (2018) Phase II synthetic exponential charts and effect of parameter estimation. Quality Technology & Quantitative Management 15:1, pages 125-142.
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Wai Chung Yeong, Michael Boon Chong Khoo, Sok Li Lim & Philippe Castagliola. (2016) The economic and economic-statistical designs of the Hotelling's T2 chart based on the expected average run length. Quality Engineering 28:4, pages 416-428.
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Salah Haridy, Yanjing Ou, Zhang Wu & Michael B. C. Khoo. (2016) A single X chart outperforming the joint X & R and X & S charts for monitoring mean and variance. Quality Technology & Quantitative Management 13:3, pages 289-308.
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Yanjing Ou, Zhang Wu, Michael B. C. Khoo & Nan Chen. (2015) A rational sequential probability ratio test control chart for monitoring process shifts in mean and variance. Journal of Statistical Computation and Simulation 85:9, pages 1765-1781.
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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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Liang Qu, Zhang Wu, Michael B. C. Khoo & Abdur Rahim. (2014) Time-Between-Event Control Charts for Sampling Inspection. Technometrics 56:3, pages 336-346.
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Salah Haridy, Zhang Wu, Ka Man Lee & M. Abdur Rahim. (2014) An attribute chart for monitoring the process mean and variance. International Journal of Production Research 52:11, pages 3366-3380.
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William H. Woodall & Douglas C. Montgomery. (2014) Some Current Directions in the Theory and Application of Statistical Process Monitoring. Journal of Quality Technology 46:1, pages 78-94.
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Su-Fen Yang. (2013) Using a Single Average Loss Control Chart to Monitor Process Mean and Variability. Communications in Statistics - Simulation and Computation 42:7, pages 1549-1562.
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Anna Schuh, William H. Woodall & Jaime A. Camelio. (2013) The Effect of Aggregating Data When Monitoring a Poisson Process. Journal of Quality Technology 45:3, pages 260-272.
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Maria E. Calzada & Stephen M. Scariano. (2013) A synthetic control chart for the coefficient of variation. Journal of Statistical Computation and Simulation 83:5, pages 853-867.
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Marion R. Reynolds$suffix/text()$suffix/text(), Jianying Lou, Jaeheon Lee & Sai Wang. (2013) The Design of GLR Control Charts for Monitoring the Process Mean and Variance. Journal of Quality Technology 45:1, pages 34-60.
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Sai Wang & Marion R. Reynolds$suffix/text()$suffix/text(). (2013) A GLR Control Chart for Monitoring the Mean Vector of a Multivariate Normal Process. Journal of Quality Technology 45:1, pages 18-33.
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Mei Yang, Zhang Wu, Ka Man Lee & Michael B.C. Khoo. (2012) The X control chart for monitoring process shifts in mean and variance. International Journal of Production Research 50:3, pages 893-907.
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MarionR. Reynolds$suffix/text()$suffix/text() & Gyo-Young Cho. (2011) Multivariate Control Charts for Monitoring the Mean Vector and Covariance Matrix with Variable Sampling Intervals. Sequential Analysis 30:1, pages 1-40.
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Zhang Wu, Yanjing Ou, Philippe Castagliola & Michael B.C. Khoo. (2010) A combined synthetic&X chart for monitoring the process mean. International Journal of Production Research 48:24, pages 7423-7436.
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Yafen Liu, Zhen He, M. Shamsuzzaman & Zhang Wu. (2010) A combined control scheme for monitoring the frequency and size of an attribute event. Journal of Applied Statistics 37:12, pages 1991-2013.
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Marion R. Reynolds$suffix/text()$suffix/text() & Jianying Lou. (2010) An Evaluation of a GLR Control Chart for Monitoring the Process Mean. Journal of Quality Technology 42:3, pages 287-310.
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George Nenes & George Tagaras. (2010) Evaluation of CUSUM Charts for Finite-Horizon Processes. Communications in Statistics - Simulation and Computation 39:3, pages 578-597.
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MarionR. Reynolds$suffix/text()$suffix/text(). (2009) Discussion on “Optimal Sequential Surveillance for Finance, Public Health, and Other Areas” by Marianne Frisén. Sequential Analysis 28:3, pages 375-380.
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Zhang Wu, Jianxin Jiao & Zhen He. (2009) A control scheme for monitoring the frequency and magnitude of an event. International Journal of Production Research 47:11, pages 2887-2902.
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Zhang Wu, Jianxin Jiao, Mei Yang, Ying Liu & Zhaojun Wang. (2009) An enhanced adaptive CUSUM control chart. IIE Transactions 41:7, pages 642-653.
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Zhang Wu, Jianxin Jiao & Ying Liu. (2008) A binomial CUSUM chart for detecting large shifts in fraction nonconforming. Journal of Applied Statistics 35:11, pages 1267-1276.
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Marion R. Reynolds$suffix/text()$suffix/text() & Zachary G. Stoumbos. (2008) Combinations of Multivariate Shewhart and MEWMA Control Charts for Monitoring the Mean Vector and Covariance Matrix. Journal of Quality Technology 40:4, pages 381-393.
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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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MarionR. Reynolds$suffix/text()$suffix/text() & Keunpyo Kim. (2007) Multivariate Control Charts for Monitoring the Process Mean and Variability Using Sequential Sampling. Sequential Analysis 26:3, pages 283-315.
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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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Marion R Reynolds$suffix/text()$suffix/text() & Zachary G Stoumbos. (2006) Comparisons of Some Exponentially Weighted Moving Average Control Charts for Monitoring the Process Mean and Variance. Technometrics 48:4, pages 550-567.
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Covariance Matrix, Marion R. Reynolds$suffix/text()$suffix/text() & Gyo-Young Cho. (2006) Multivariate Control Charts for Monitoring the Mean Vector and Covariance Matrix. Journal of Quality Technology 38:3, pages 230-253.
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Z. Wu, M. Shamsuzzaman & Q. Wang. (2006) Designs of control charts with optimal manpower deployment. International Journal of Production Research 44:11, pages 2119-2132.
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Marion R Reynolds$suffix/text()$suffix/text() & Zachary G Stoumbos. (2005) Should Exponentially Weighted Moving Average and Cumulative Sum Charts Be Used With Shewhart Limits?. Technometrics 47:4, pages 409-424.
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Keunpyo Kim & Marion R. Reynolds$suffix/text()$suffix/text(). (2005) Multivariate Monitoring Using an MEWMA Control Chart with Unequal Sample Sizes. Journal of Quality Technology 37:4, pages 267-281.
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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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