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International Journal of Production Research Volume 50, 2012 - Issue 23
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Original Articles

An improved self-starting cumulative count of conforming chart for monitoring high-quality processes under group inspection

Cai Wen Zhang Department of Management Science, Business School, Sun Yat-Sen University, Guangzhou, PR ChinaCorrespondence[email protected]
,
Min Xie Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, PR China; Department of Industrial and Systems Engineering, National University of Singapore
&
Tongdan Jin Ingram School of Engineering, Texas State University, San Marcos, TX 78666, USA
Pages 7026-7043 | Received 16 Jan 2011, Accepted 08 Dec 2011, Published online: 31 Jan 2012

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Eralp Dogu & Muhammad Noor-ul-Amin. (2023) Monitoring exponentially distributed time between events data: self-starting perspective. Communications in Statistics - Simulation and Computation 52:3, pages 1104-1118.
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Nirpeksh Kumar & Ranjeet K. Singh. (2020) A comparative study of ANI- and ARL-unbiased geometric and CCC control charts. Sequential Analysis 39:3, pages 399-416.
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Runhui Wang, Jian Li & Lian Xue. (2018) Joint monitoring of mean and dispersion of count data. Journal of Industrial and Production Engineering 35:4, pages 269-276.
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V. Golbafian, M. S. Fallahnezhad & Y. Zare Mehrjerdi. (2017) A new economic scheme for CCC charts with run rules based on average number of inspected items. Communications in Statistics - Theory and Methods 46:24, pages 12023-12044.
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Manuel Cabral Morais. (2017) ARL-unbiased geometric and CCC control charts. Sequential Analysis 36:4, pages 513-527.
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Cai Wen Zhang, Zhisheng Ye & Min Xie. (2017) Monitoring the shape parameter of a Weibull renewal process. IISE Transactions 49:8, pages 800-813.
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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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Ming Ha Lee & Michael B. C. Khoo. (2015) Variable Sampling Interval Cumulative Count of Conforming Chart with Runs Rules. Communications in Statistics - Simulation and Computation 44:9, pages 2410-2430.
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Yanjing Ou, Nan Chen & Michael B.C. Khoo. (2015) An efficient multivariate control charting mechanism based on SPRT. International Journal of Production Research 53:7, pages 1937-1949.
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Giovanna Capizzi. (2015) Recent Advances in Process Monitoring: Nonparametric and Variable-Selection Methods for Phase I and Phase II. Quality Engineering 27:1, pages 44-67.
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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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L. Allison Jones-Farmer, William H. Woodall, Stefan H. Steiner & Charles W. Champ. (2014) An Overview of Phase I Analysis for Process Improvement and Monitoring. Journal of Quality Technology 46:3, pages 265-280.
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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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Cai Wen Zhang, Tieling Zhang, Dongsheng Xu & Min Xie. (2013) Analyzing Highly Censored Reliability Data without Exact Failure Times: An Efficient Tool for Practitioners. Quality Engineering 25:4, pages 392-400.
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Articles from other publishers (15)

Manuel Cabral Morais, Sven Knoth, Camila Jeppesen Cruz & Christian H. Weiß. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13 77 98 .
Sajid Ali, Tanzila Zafar, Ismail Shah & Lichen Wang. (2020) Cumulative Conforming Control Chart Assuming Discrete Weibull Distribution. IEEE Access 8, pages 10123-10133.
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Tahir Mahmood & Min Xie. (2019) Models and monitoring of zero‐inflated processes: The past and current trends. Quality and Reliability Engineering International 35:8, pages 2540-2557.
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Wenhui Zhou, Cheng Cheng & Zhibin Zheng. (2019) Optimal design of an attribute control chart for monitoring the mean of autocorrelated processes. Computers & Industrial Engineering 137, pages 106081.
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Sofia Paulino, Manuel Cabral Morais & Sven Knoth. (2016) On ARL-unbiased c-charts for INAR(1) Poisson counts. Statistical Papers 60:4, pages 1021-1038.
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Subhabrata Chakraborti & Marien Alet Graham. 2019. Nonparametric Statistical Process Control. Nonparametric Statistical Process Control 413 424 .
Roberto Campos Leoni & Antonio Fernando Branco Costa. (2018) The Shewhart attribute chart with alternated charting statistics to monitor bivariate and trivariate mean vectors. Computers & Industrial Engineering 122, pages 273-282.
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Baocai Guo & Bing Xing Wang. (2017) The Design of the S 2 Control Charts Based on Conditional Performance via Exact Methods . Quality and Reliability Engineering International 33:7, pages 1567-1575.
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Ridwan A. Sanusi, Mu'azu Ramat Abujiya, Muhammad Riaz & Nasir Abbas. (2017) Combined Shewhart CUSUM charts using auxiliary variable. Computers & Industrial Engineering 105, pages 329-337.
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Sofia Paulino, Manuel Cabral Morais & Sven Knoth. (2016) An ARL-unbiased c-chart. Quality and Reliability Engineering International 32:8, pages 2847-2858.
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Manuel Cabral Morais. (2016) An ARL-Unbiased n p -Chart . Economic Quality Control 31:1, pages 11-21.
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S.L. Lim, Michael B.C. Khoo, W.C. Yeong & M.H. Lee. (2015) Economic and economic-statistical designs of the side sensitive group runs chart. Computers & Industrial Engineering 90, pages 314-325.
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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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Aamir Saghir & Zhengyan Lin. (2015) The Negative Binomial Exponentially Weighted Moving Average Chart with Estimated Control Limits. Quality and Reliability Engineering International 31:2, pages 239-250.
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Seyed Taghi Akhavan Niaki & Majid Khedmati. (2014) Change point estimation of high-yield processes experiencing monotonic disturbances. Computers & Industrial Engineering 67, pages 82-92.
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