208
Views
87
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

A comparison of control charting procedures for monitoring process dispersion

, &
Pages 569-579 | Received 01 Apr 1997, Accepted 01 Aug 1998, Published online: 27 Jul 2007

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

Read on this site (30)

Gideon Mensah Engmann, Dong Han & Muhammad Ali Raza. (2023) Multi-chart schemes for detecting a range of variance changes. Quality Technology & Quantitative Management 0:0, pages 1-13.
Read now
Shashibhushan B. Mahadik, Dadasaheb G. Godase & W. L. Teoh. (2021) A two-sided SPRT control chart for process dispersion. Journal of Statistical Computation and Simulation 91:17, pages 3603-3614.
Read now
Vasileios Alevizakos, Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2021) A S 2-GWMA control chart for monitoring the process variability. Quality Engineering 33:3, pages 533-551.
Read now
Willy Ugaz, Andrés M. Alonso & Ismael Sánchez. (2021) Adaptive EWMA-S2 control charts with adaptive smoothing parameter. Quality Engineering 33:1, pages 100-112.
Read now
Syed Masroor Anwar, Muhammad Aslam, Shabbir Ahmad & Muhammad Riaz. (2020) A modified-mxEWMA location chart for the improved process monitoring using auxiliary information and its application in wood industry. Quality Technology & Quantitative Management 17:5, pages 561-579.
Read now
Abdul Haq. (2020) A maximum adaptive exponentially weighted moving average control chart for monitoring process mean and variability. Quality Technology & Quantitative Management 17:1, pages 16-31.
Read now
Nasir Abbas, Usman Saeed, Muhammad Riaz & Saddam Akber Abbasi. (2020) On designing an assorted control charting approach to monitor process dispersion: an application to hard-bake process. Journal of Taibah University for Science 14:1, pages 65-76.
Read now
Saadia Tariq, Muhammad Noor-ul-Amin, Muhammad Aslam & Muhammad Hanif. (2019) Design of hybrid EWMln-S2 control chart. Journal of Industrial and Production Engineering 36:8, pages 554-562.
Read now
Mahwish Rabia, Nadia Saeed & Muhammad Aslam. (2019) Reliability and sensitivity comparisons and average run lengths of CUSUM scale chart. Communications in Statistics - Theory and Methods 48:9, pages 2147-2162.
Read now
Waqas Munir & Abdul Haq. (2017) New cumulative sum control charts for monitoring process variability. Journal of Statistical Computation and Simulation 87:15, pages 2882-2899.
Read now
Rob Goedhart, Michele M. da Silva, Marit Schoonhoven, Eugenio K. Epprecht, Subha Chakraborti, Ronald J. M. M. Does & Álvaro Veiga. (2017) Shewhart control charts for dispersion adjusted for parameter estimation. IISE Transactions 49:8, pages 838-848.
Read now
Jiujun Zhang, Chuan He, Zhonghua Li & Zhaojun Wang. (2017) Likelihood ratio test-based chart for monitoring the process variability. Communications in Statistics - Simulation and Computation 46:1, pages 704-728.
Read now
Athanasios C. Rakitzis & Demetrios L. Antzoulakos. (2016) Run sum control charts for the monitoring of process variability. Quality Technology & Quantitative Management 13:1, pages 58-77.
Read now
Sven Knoth. (2015) Run length quantiles of EWMA control charts monitoring normal mean or/and variance. International Journal of Production Research 53:15, pages 4629-4647.
Read now
Aamir Saghir. (2015) Phase-I Design Scheme for -chart Based on Posterior Distribution. Communications in Statistics - Theory and Methods 44:3, pages 644-655.
Read now
Raja Fawad Zafar, Nasir Abbas, Muhammad Riaz & Zawar Hussain. (2014) Progressive Variance Control Charts for Monitoring Process Dispersion. Communications in Statistics - Theory and Methods 43:23, pages 4893-4907.
Read now
Athanasios C. Rakitzis & Demetrios L. Antzoulakos. (2014) Control charts with switching and sensitizing runs rules for monitoring process variation. Journal of Statistical Computation and Simulation 84:1, pages 37-56.
Read now
Wenpo Huang, Lianjie Shu, Wei Jiang & Kwok-Leung Tsui. (2013) Evaluation of run-length distribution for CUSUM charts under gamma distributions. IIE Transactions 45:9, pages 981-994.
Read now
Xin Zhang & Jiujun Zhang. (2013) CUSUM Procedures for Monitoring Process Mean and Variability. Communications in Statistics - Simulation and Computation 42:7, pages 1455-1471.
Read now
Lianjie Shu, Wenpo Huang, Yan Su & Kwok-Leung Tsui. (2013) Computation of the run-length percentiles of CUSUM control charts under changes in variances. Journal of Statistical Computation and Simulation 83:7, pages 1238-1251.
Read now
Gordon J. Ross & Niall M. Adams. (2012) Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes. Journal of Quality Technology 44:2, pages 102-116.
Read now
Demetrios L. Antzoulakos & Athanasios C. Rakitzis. (2010) Runs rules schemes for monitoring process variability. Journal of Applied Statistics 37:7, pages 1231-1247.
Read now
Lianjie Shu, Hang-Fai Yeung & Wei Jiang. (2010) An Adaptive CUSUM Procedure for Signaling Process Variance Changes of Unknown Sizes. Journal of Quality Technology 42:1, pages 69-85.
Read now
Muhammad Riaz & Aamir Saghir. (2009) A mean deviation-based approach to monitor process variability. Journal of Statistical Computation and Simulation 79:10, pages 1173-1193.
Read now
Lianjie Shu & Wei Jiang. (2008) A New EWMA Chart for Monitoring Process Dispersion. Journal of Quality Technology 40:3, pages 319-331.
Read now
Lianjie Shu. (2008) An adaptive exponentially weighted moving average control chart for monitoring process variances. Journal of Statistical Computation and Simulation 78:4, pages 367-384.
Read now
Changliang Zou, Chunguang Zhou, Zhaojun Wang & Fugee Tsung. (2007) A Self-Starting Control Chart for Linear Profiles. Journal of Quality Technology 39:4, pages 364-375.
Read now
Cai Wen Zhang, Min Xie & Thong Ngee Goh. (2006) Design of exponential control charts using a sequential sampling scheme. IIE Transactions 38:12, pages 1105-1116.
Read now
Keunpyo Kim, Mahmoud A. Mahmoud & William H. Woodall. (2003) On the Monitoring of Linear Profiles. Journal of Quality Technology 35:3, pages 317-328.
Read now
B. VENKATESHWARA RAO, RALPHL. DISNEY & JOSEPHJ. PIGNATIELLO$suffix/text()$suffix/text(). (2001) Uniqueness and convergence of solutions to average run length integral equations for cumulative sum and other control charts. IIE Transactions 33:6, pages 463-469.
Read now

Articles from other publishers (57)

Muhammad Waqas, Song Hua Xu, Syed Masroor Anwar, Zahid Rasheed & Javid Shabbir. (2023) The optimal control chart selection for monitoring COVID-19 phases: a case study of daily deaths in the USA. International Journal for Quality in Health Care 35:3.
Crossref
Ganiyu Ayodele Ajibade, Jimoh Olawale Ajadi, Olusola John Kuboye & Ekele Alih. (2023) Generalized new exponentially weighted moving average control charts (NEWMA) for monitoring process dispersion. International Journal of Quality & Reliability Management.
Crossref
Olatunde Adebayo Adeoti & Kayode Samuel Adekeye. (2023) Generalized Gamma-CUSUM control chart with application of COVID-19 deaths. PLOS ONE 18:2, pages e0281360.
Crossref
Muhammad Riaz, Shabbir Ahmad, Tahir Mahmood & Nasir Abbas. (2022) On Reassessment of the HWMA Chart for Process Monitoring. Processes 10:6, pages 1129.
Crossref
Abdul Haq & Faiqa Razzaq. (2021) New weighted adaptive CUSUM dispersion charts. Quality and Reliability Engineering International 38:1, pages 110-133.
Crossref
Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2020) A new S2‐TEWMA control chart for monitoring process dispersion. Quality and Reliability Engineering International 37:4, pages 1334-1354.
Crossref
Muhammad Aslam & Syed Masroor Anwar. (2020) An improved Bayesian Modified-EWMA location chart and its applications in mechanical and sport industry. PLOS ONE 15:2, pages e0229422.
Crossref
Aamir Saghir, Muhammad Aslam, Alireza Faraz, Liaquat Ahmad & Cedric Heuchenne. (2019) Monitoring process variation using modified EWMA. Quality and Reliability Engineering International 36:1, pages 328-339.
Crossref
Muhammad Abid, Hafiz Zafar Nazir, Muhammad Tahir, Muhammad Riaz & Tahir Abbas. (2020) A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data. Journal of Testing and Evaluation 48:1, pages 20180572.
Crossref
Muhammad Noor‐ul‐Amin, Saadia Tariq & Muhammad Hanif. (2019) Control charts for simultaneously monitoring of process mean and coefficient of variation with and without auxiliary information. Quality and Reliability Engineering International 35:8, pages 2639-2656.
Crossref
Dadasaheb G. Godase & Shashibhushan B. Mahadik. (2019) The SPRT control chart for process dispersion. Quality and Reliability Engineering International 35:6, pages 1878-1889.
Crossref
Babar Zaman, Muhammad Hisyam Lee, Muhammad Riaz & Mu'azu Ramat Abujiya. (2019) An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring. Computers & Industrial Engineering 135, pages 236-253.
Crossref
Jose Luis Alfaro & Juan Fco. Ortega. (2018) A new multivariate variability control chart based on a covariance matrix combination. Applied Stochastic Models in Business and Industry 35:3, pages 823-836.
Crossref
Inez M. Zwetsloot & Jimoh Olawale Ajadi. (2019) A comparison of EWMA control charts for dispersion based on estimated parameters. Computers & Industrial Engineering 127, pages 436-450.
Crossref
Zhi Song, Yanchun Liu, Zhonghua Li & Jiujun Zhang. (2018) A comparative study of memory-type control charts based on robust scale estimators. Quality and Reliability Engineering International 34:6, pages 1079-1102.
Crossref
Rizwan Ali & Abdul Haq. (2018) New GWMA-CUSUM control chart for monitoring the process dispersion. Quality and Reliability Engineering International 34:6, pages 997-1028.
Crossref
Abdul Haq. (2018) A new adaptive EWMA control chart for monitoring the process dispersion. Quality and Reliability Engineering International 34:5, pages 846-857.
Crossref
Fábio Mariano Bayer, Catia Michele Tondolo & Fernanda Maria Müller. (2018) Beta regression control chart for monitoring fractions and proportions. Computers & Industrial Engineering 119, pages 416-426.
Crossref
Erica Leandro Bezerra, Linda Lee Ho & Roberto da Costa Quinino. (2018) : An optimized attribute control chart to monitor process variability . International Journal of Production Economics 195, pages 287-295.
Crossref
Suyi Li. (2017) Nonparametric variance control charts based on siegel-tukey test. Nonparametric variance control charts based on siegel-tukey test.
Abdul Haq. (2017) New EWMA control charts for monitoring process dispersion using auxiliary information. Quality and Reliability Engineering International 33:8, pages 2597-2614.
Crossref
Rizwan Ali & Abdul Haq. (2017) New memory-type dispersion control charts. Quality and Reliability Engineering International 33:8, pages 2131-2149.
Crossref
Ridwan A. Sanusi, Muhammad Riaz, Nasir Abbas & Mu'azu Ramat Abujiya. (2017) Using FIR to Improve CUSUM Charts for Monitoring Process Dispersion. Quality and Reliability Engineering International 33:5, pages 1045-1056.
Crossref
Mu'azu Ramat Abujiya, Muhammad Riaz & Muhammad Hisyam Lee. (2016) A New Combined Shewhart-Cumulative Sum S Chart for Monitoring Process Standard Deviation . Quality and Reliability Engineering International 32:3, pages 1149-1165.
Crossref
Mu'azu Ramat Abujiya, Muhammad Hisyam Lee & Muhammad Riaz. (2016) Combined Application of Shewhart and Cumulative Sum R Chart for Monitoring Process Dispersion . Quality and Reliability Engineering International 32:1, pages 51-67.
Crossref
Abdul Haq, Jennifer Brown & Elena Moltchanova. (2015) New Synthetic Control Charts for Monitoring Process Mean and Process Dispersion. Quality and Reliability Engineering International 31:8, pages 1305-1325.
Crossref
Abdul Haq, Jennifer Brown & Elena Moltchanova. (2015) A New Exponentially Weighted Moving Average Control Chart for Monitoring Process Dispersion. Quality and Reliability Engineering International 31:8, pages 1337-1357.
Crossref
Abdul Haq, Jennifer Brown & Elena Moltchanova. (2015) New Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Process Dispersion. Quality and Reliability Engineering International 31:5, pages 877-901.
Crossref
Mu’azu Ramat Abujiya, Muhammad Riaz & Muhammad Hisyam Lee. (2015) Enhanced Cumulative Sum Charts for Monitoring Process Dispersion. PLOS ONE 10:4, pages e0124520.
Crossref
Hafiz Zafar Nazir, Muhammad Riaz & Ronald J. M. M. Does. (2015) Robust CUSUM Control Charting for Process Dispersion. Quality and Reliability Engineering International 31:3, pages 369-379.
Crossref
Abdul Haq, Jennifer Brown, Elena Moltchanova & Amer Ibrahim Al-Omari. (2015) Improved Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Dispersion. Quality and Reliability Engineering International 31:2, pages 217-237.
Crossref
Abdul Haq, Jennifer Brown & Elena Moltchanova. (2014) New Exponentially Weighted Moving Average Control Charts for Monitoring Process Dispersion. Quality and Reliability Engineering International 30:8, pages 1311-1332.
Crossref
Shu Qing Liu, Qin Su & Ping Li. (2014) Research on the quality stability evaluation and monitoring based on the pre-control chart. International Journal of Quality & Reliability Management 31:9, pages 966-982.
Crossref
Nasir Abbas, Muhammad Riaz & Ronald J. M. M. Does. (2014) Memory-Type Control Charts for Monitoring the Process Dispersion. Quality and Reliability Engineering International 30:5, pages 623-632.
Crossref
Víctor G. Tercero-Gómez, Alvaro Cordero-Franco, Angel Pérez-Blanco & Alberto Hernández-Luna. (2014) A Self-Starting CUSUM Chart Combined with a Maximum Likelihood Estimator for the Time of a Detected Shift in the Process Mean. Quality and Reliability Engineering International 30:4, pages 591-599.
Crossref
Shabbir Ahmad, Saddam Akber Abbasi, Muhammad Riaz & Nasir Abbas. (2014) On efficient use of auxiliary information for control charting in SPC. Computers & Industrial Engineering 67, pages 173-184.
Crossref
Nasir Abbas, Muhammad Riaz & Ronald J. M. M. Does. (2012) CS‐EWMA Chart for Monitoring Process Dispersion. Quality and Reliability Engineering International 29:5, pages 653-663.
Crossref
Shabbir Ahmad, Muhammad Riaz, Saddam Akber Abbasi & Zhengyan Lin. (2013) On monitoring process variability under double sampling scheme. International Journal of Production Economics 142:2, pages 388-400.
Crossref
Wenpo Huang, Lianjie Shu & Wei Jiang. (2012) Evaluation of exponentially weighted moving variance control chart subject to linear drifts. Computational Statistics & Data Analysis 56:12, pages 4278-4289.
Crossref
Chia-Ling Yen, Jyh-Jen Horng Shiau & Arthur B. Yeh. (2012) Effective Control Charts for Monitoring Multivariate Process Dispersion. Quality and Reliability Engineering International 28:4, pages 409-426.
Crossref
Jiujun Zhang, Changliang Zou & Zhaojun Wang. (2011) An adaptive Shiryaev-Roberts procedure for monitoring dispersion. Computers & Industrial Engineering 61:4, pages 1166-1172.
Crossref
Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement 261 307 .
James J. Cochran, Louis A. CoxJr.Jr., Pinar Keskinocak, Jeffrey P. Kharoufeh & J. Cole SmithKwok‐Leung Tsui, Wei Jiang & Yajun Mei. 2011. Wiley Encyclopedia of Operations Research and Management Science. Wiley Encyclopedia of Operations Research and Management Science.
E. Trovato, P. Castagliola, G. Celano & S. Fichera. (2010) Economic design of inspection strategies to monitor dispersion in short production runs. Computers & Industrial Engineering 59:4, pages 887-897.
Crossref
Longcheen Huwang, Chun-Jung Huang & Yi-Hua Tina Wang. (2010) New EWMA control charts for monitoring process dispersion. Computational Statistics & Data Analysis 54:10, pages 2328-2342.
Crossref
Qin Zhou, Yunzhao Luo & Zhaojun Wang. (2010) A control chart based on likelihood ratio test for detecting patterned mean and variance shifts. Computational Statistics & Data Analysis 54:6, pages 1634-1645.
Crossref
Lihui Shi, Changliang Zou, Zhaojun Wang & Kailash C. Kapur. (2009) A new variable sampling control scheme at fixed times for monitoring the process dispersion. Quality and Reliability Engineering International 25:8, pages 961-972.
Crossref
P. Castagliola, G. Celano & S. Fichera. (2009) A new CUSUM‐ S 2 control chart for monitoring the process variance . Journal of Quality in Maintenance Engineering 15:4, pages 344-357.
Crossref
Doğan A. Serel. (2009) Economic design of EWMA control charts based on loss function. Mathematical and Computer Modelling 49:3-4, pages 745-759.
Crossref
Jiujun Zhang, Zhonghua Li & Zhaojun Wang. (2009) Control chart based on likelihood ratio for monitoring linear profiles. Computational Statistics & Data Analysis 53:4, pages 1440-1448.
Crossref
Muhammad Riaz. (2008) Monitoring process mean level using auxiliary information. Statistica Neerlandica 62:4, pages 458-481.
Crossref
Jean-Christophe Augustin & Brice Minvielle. (2008) Design of control charts to monitor the microbiological contamination of pork meat cuts. Food Control 19:1, pages 82-97.
Crossref
Doğan A. Serel & Herbert Moskowitz. (2008) Joint economic design of EWMA control charts for mean and variance. European Journal of Operational Research 184:1, pages 157-168.
Crossref
Sven Knoth. (2006) Computation of the ARL for CUSUM- schemes. Computational Statistics & Data Analysis 51:2, pages 499-512.
Crossref
H.J. Huang & F.L. Chen. (2005) A synthetic control chart for monitoring process dispersion with sample standard deviation. Computers & Industrial Engineering 49:2, pages 221-240.
Crossref
Marianne Frisén. (2007) Statistical Surveillance. Optimality and Methods. International Statistical Review 71:2, pages 403-434.
Crossref
L. Allison Jones & Charles W. Champ. (2002) Phase I control charts for times between events. Quality and Reliability Engineering International 18:6, pages 479-488.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.