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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 33, 2001 - Issue 1
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Articles

A Synthetic Control Chart for Detecting Fraction Nonconforming Increases

Zhang WuNanyang Technological University, Singapore639798View further author information
,
Song Huat YeoNanyang Technological University, Singapore639798View further author information
&
Trevor A. SpeddingNanyang Technological University, Singapore639798View further author information
Pages 104-111 | Published online: 20 Feb 2018

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Gadre Mukund Parasharam & Nisha Padappa. (2022) Hybrid synthetic and group runs charts using alternating the charting statistic to monitor the mean vector of a multivariate process. Communications in Statistics - Theory and Methods 51:21, pages 7607-7630.
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Mukund P. Gadre & Vikas C. Kakade. (2022) Some side sensitive group runs based control charts to detect shifts in the process median. Communications in Statistics - Simulation and Computation 51:4, pages 1474-1487.
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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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Ming Ha Lee & Michael B. C. Khoo. (2017) Optimal design of synthetic np control chart based on median run length. Communications in Statistics - Theory and Methods 46:17, pages 8544-8556.
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M. P. Gadre, S. B. Adnaik & R.N. Rattihalli. (2017) Continuous single attribute control chart for Markov-dependent processes. Journal of Applied Statistics 44:6, pages 1000-1012.
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Sang Joon Um & Jong Gurl Kim. (2016) A simultaneous control scheme for mean and fraction non conforming in small process variation. Communications in Statistics - Theory and Methods 45:16, pages 4745-4759.
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Adnaik S. B.Gadre M. P.Rattihalli R. N.. (2015) Single Attribute Control Charts for a Markovian-Dependent Process. Communications in Statistics - Theory and Methods 44:17, pages 3723-3737.
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Muhammad Aslam, Muhammad Azam, Nasrullah Khan & Chi-Hyuck Jun. (2015) A mixed control chart to monitor the process. International Journal of Production Research 53:15, pages 4684-4693.
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Adnaik Sachin Bajirao & Gadre Mukund Parasharam. (2015) Modified Synthetic Control Chart for One-Step Markov-Dependent Processes. Communications in Statistics - Theory and Methods 44:5, pages 942-952.
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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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Marcela A. G. Machado & Antonio F. B. Costa. (2014) Some Comments Regarding the Synthetic Chart. Communications in Statistics - Theory and Methods 43:14, pages 2897-2906.
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Marcela A.G. Machado & Antonio F.B. Costa. (2014) A side-sensitive synthetic chart combined with an chart. International Journal of Production Research 52:11, pages 3404-3416.
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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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MingHa Lee & MichaelB. C. Khoo. (2014) The Synthetic Mean Square Error Control Chart. Communications in Statistics - Simulation and Computation 43:6, pages 1523-1542.
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Yanfen Shang, Fugee Tsung & Changliang Zou. (2013) Statistical process control for multistage processes with binary outputs. IIE Transactions 45:9, pages 1008-1023.
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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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Yu-Ting Cheng, Chih-Ching Yang & Sou-Chein Wu. (2013) Optimal Variable Sample Size and Sampling Interval MSE Chart Based on Improved Square Root Transformation. Communications in Statistics - Simulation and Computation 42:3, pages 534-551.
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Cai Wen Zhang, Min Xie & Tongdan Jin. (2012) An improved self-starting cumulative count of conforming chart for monitoring high-quality processes under group inspection. International Journal of Production Research 50:23, pages 7026-7043.
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Ming Ha Lee. (2012) The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart. Communications in Statistics - Simulation and Computation 41:10, pages 1785-1793.
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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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Aurélia Aparecida De Araújo Rodrigues, Eugenio Kahn Epprecht & Maysa Sacramento De Magalhães. (2011) Double-sampling control charts for attributes. Journal of Applied Statistics 38:1, pages 87-112.
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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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S. K. Khilare & D. T. Shirke. (2010) A Nonparametric Synthetic Control Chart Using Sign Statistic. Communications in Statistics - Theory and Methods 39:18, pages 3282-3293.
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Antonio F. B. Costa, Maysa S. de Magalhães & Eugenio K. Epprecht. (2009) Monitoring the process mean and variance using a synthetic control chart with two-stage testing. International Journal of Production Research 47:18, pages 5067-5086.
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Philippe Castagliola & MichaelB. C. Khoo. (2009) A Synthetic Scaled Weighted Variance Control Chart for Monitoring the Process Mean of Skewed Populations. Communications in Statistics - Simulation and Computation 38:8, pages 1659-1674.
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MichaelB. C. Khoo, AbduM. A. Atta & Zhang Wu. (2009) A Multivariate Synthetic Control Chart for Monitoring the Process Mean Vector of Skewed Populations Using Weighted Standard Deviations. Communications in Statistics - Simulation and Computation 38:7, pages 1493-1518.
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Francisco Aparisi & MarcoA. de Luna. (2009) The Design and Performance of the Multivariate Synthetic-T 2 Control Chart. Communications in Statistics - Theory and Methods 38:2, pages 173-192.
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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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M. P. Gadre & R. N. Rattihalli. (2008) Multi-attribute unit and group runs control chart to identify the process deterioration. Journal of Statistical Computation and Simulation 78:11, pages 999-1008.
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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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Zhang Wu & Jianxin Jiao. (2008) A control chart for monitoring process mean based on attribute inspection. International Journal of Production Research 46:15, pages 4331-4347.
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Zhang Wu & Jianxin Jiao. (2007) Evaluating and Improving the Unit and Group-Runs Chart. Journal of Quality Technology 39:4, pages 355-363.
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Tee Chin Chang & Fah Fatt Gan. (2007) Modified Shewhart Charts for High Yield Processes. Journal of Applied Statistics 34:7, pages 857-877.
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Zhang Wu & Qinan Wang. (2007) An NP Control Chart Using Double Inspections. Journal of Applied Statistics 34:7, pages 843-855.
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M. P. Gadre & R. N. Rattihalli. (2006) Modified Group Runs Control Charts to Detect Increases in Fraction Non Conforming and Shifts in the Process Mean. Communications in Statistics - Simulation and Computation 35:1, pages 225-240.
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Zhenlin Yang, Min Xie, Vellaisamy Kuralmani & Kwok-Leung Tsui. (2002) On the Performance of Geometric Charts with Estimated Control Limits. Journal of Quality Technology 34:4, pages 448-458.
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Robert B. Davis & William H. Woodall. (2002) Evaluating and Improving the Synthetic Control Chart. Journal of Quality Technology 34:2, pages 200-208.
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Zhang Wu & Song Huat Yeo. (2001) Implementing Synthetic Control Charts for Attributes. Journal of Quality Technology 33:1, pages 112-114.
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