78
Views
60
CrossRef citations to date
0
Altmetric
Original Articles

TIME-SERIES INVESTIGATION OF SUBSAMPLE MEAN CHARTS

&
Pages 66-80 | Published online: 30 May 2007

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

Read on this site (29)

Binhui Wang, Zhifeng He & Lianjie Shu. (2023) A generalized exponentially weighted moving average control chart for monitoring autocorrelated vectors. Communications in Statistics - Simulation and Computation 52:6, pages 2559-2577.
Read now
S.C. Shongwe & J.-C. Malela-Majika. (2022) Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples. Communications in Statistics - Simulation and Computation 51:1, pages 293-322.
Read now
Sandile Charles Shongwe, Jean-Claude Malela-Majika & Philippe Castagliola. (2021) The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors. Communications in Statistics - Theory and Methods 50:24, pages 5806-5835.
Read now
Sandile Charles Shongwe, Jean-Claude Malela-Majika & Philippe Castagliola. (2021) A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X̄ scheme with and without measurement errors. Journal of Applied Statistics 48:7, pages 1243-1268.
Read now
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.
Read now
Sandile Charles Shongwe, Jean-Claude Malela-Majika, Philippe Castagliola & Thapelo Molahloe. (2020) Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies. Communications in Statistics - Theory and Methods 49:17, pages 4248-4269.
Read now
J. A. Garza-Venegas, V. G. Tercero-Gómez, L. Lee Ho, P. Castagliola & G. Celano. (2018) Effect of autocorrelation estimators on the performance of the X̄ control chart. Journal of Statistical Computation and Simulation 88:13, pages 2612-2630.
Read now
Bruno Chaves Franco, Giovanni Celano, Philippe Castagliola, Antonio Fernando Branco Costa & Marcela Aparecida Guerreiro Machado. (2015) A new sampling strategy for the Shewhart control chart monitoring a process with wandering mean. International Journal of Production Research 53:14, pages 4231-4248.
Read now
Bruno Chaves Franco, Philippe Castagliola, Giovanni Celano & Antonio Fernando Branco Costa. (2014) A new sampling strategy to reduce the effect of autocorrelation on a control chart. Journal of Applied Statistics 41:7, pages 1408-1421.
Read now
AntonioF. B. Costa & Philippe Castagliola. (2011) Effect of measurement error and autocorrelation on the X¯ chart. Journal of Applied Statistics 38:4, pages 661-673.
Read now
Gülser Köksal, Burcu Kantar, Taylan Ali Ula & Murat Caner Testik. (2008) The effect of Phase I sample size on the run length performance of control charts for autocorrelated data. Journal of Applied Statistics 35:1, pages 67-87.
Read now
Mohamed El Ghourabi & Mohamed Limam. (2007) Residual Responses to Change Patterns of Autocorrelated Processes. Journal of Applied Statistics 34:7, pages 785-798.
Read now
Christine M. Wright. (2003) A Note on the Joint Estimation Method for Short-Run Autocorrelated Data. Communications in Statistics - Simulation and Computation 32:4, pages 1105-1114.
Read now
David West, Scott Dellana & Jeffrey Jarrett. (2002) Transfer Function Modeling of Processes with Dynamic Inputs. Journal of Quality Technology 34:3, pages 315-326.
Read now
M. Gültekin, E. A. Elsayed, J. R. English & A. S. Hauksdóttir. (2002) Monitoring automatically controlled processes using statistical control charts. International Journal of Production Research 40:10, pages 2303-2320.
Read now
C.M. Wright, D.E. Booth & M.Y. Hu. (2001) Joint Estimation: SPC Method for Short-Run Autocorrelated Data. Journal of Quality Technology 33:3, pages 365-378.
Read now
JOHNR. ENGLISH, SEN-CHIN LEE, TERRYW. MARTIN & CHUCK TILMON. (2000) Detecting changes in autoregressive processes with X¯and EWMA charts. IIE Transactions 32:12, pages 1103-1113.
Read now
Christina M. Mastrangelo & Evelyn C. Brown. (2000) Shift Detection Properties of Moving Centerline Control Chart Schemes. Journal of Quality Technology 32:1, pages 67-74.
Read now
DANIELW. APLEY & JIANJUN SHI. (1999) The GLRT for statistical process control of autocorrelated processes. IIE Transactions 31:12, pages 1123-1134.
Read now
Chao-Wen Lu & Marion R. Reynolds$suffix/text()$suffix/text(). (1999) EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes. Journal of Quality Technology 31:2, pages 166-188.
Read now
Douglas C. Montgomery & William H. Woodall. (1997) Concluding Remarks. Journal of Quality Technology 29:2, pages 157-162.
Read now
Darrcll Radson. (1997) The moving-range chart and autocorrelated processes. Communications in Statistics - Theory and Methods 26:9, pages 2113-2127.
Read now
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.
Read now
GEORGEC. RUNGER & THOMASR. WILLEMAIN. (1996) Batch-means control charts for autocorrelated data. IIE Transactions 28:6, pages 483-487.
Read now
G. C. RUNGER. (1996) Multivariate statistical process control for autocorrelated processes. International Journal of Production Research 34:6, pages 1715-1724.
Read now
Marion R. Reynolds$suffix/text()$suffix/text(), Jesse C. Arnold & Jai Wook Baik. (1996) Variable Sampling Interval X̄ Charts in the Presence of Correlation. Journal of Quality Technology 28:1, pages 12-30.
Read now
George C. Runger & Thomas R. Willemain. (1995) Model-Based and Model-Free Control of Autocorrelated Processes. Journal of Quality Technology 27:4, pages 283-292.
Read now
Darrell Radson & LaythC. Alwan. (1995) Detecting Variance Reductions Using the Moving Range. Quality Engineering 8:1, pages 165-178.
Read now

Articles from other publishers (31)

Sandile Charles Shongwe & Jean-Claude Malela-Majika. (2021) A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy. Computers & Industrial Engineering 153, pages 107084.
Crossref
Sandile Charles Shongwe & Jean-Claude Malela-Majika. (2020) Combined effect of autocorrelation and measurement errors on the adaptive X¯ monitoring schemes. Transactions of the Institute of Measurement and Control 43:3, pages 537-548.
Crossref
Sandile C. Shongwe, Jean‐Claude Malela‐Majika & Philippe Castagliola. (2020) On monitoring the process mean of autocorrelated observations with measurement errors using the w‐of‐w runs‐rules scheme . Quality and Reliability Engineering International 36:3, pages 1144-1160.
Crossref
Maonatlala Thanwane, Sandile Charles Shongwe, Jean-Claude Malela-Majika & Muhammad Aslam. (2020) Parameter Estimation Effect of the Homogeneously Weighted Moving Average Chart to Monitor the Mean of Autocorrelated Observations With Measurement Errors. IEEE Access 8, pages 221352-221366.
Crossref
Sandile Charles Shongwe, Jean‐Claude Malela‐Majika & Thapelo Molahloe. (2019) One‐sided runs‐rules schemes to monitor autocorrelated time series data using a first‐order autoregressive model with skip sampling strategies. Quality and Reliability Engineering International 35:6, pages 1973-1997.
Crossref
Ying Tian, Wenli Du & Viliam Makis. (2017) Improved cost-optimal Bayesian control chart based auto-correlated chemical process monitoring. Chemical Engineering Research and Design 123, pages 63-75.
Crossref
Abdaljbbar B. A. Dawod, Muhammad Riaz & Saddam Akber Abbasi. (2017) On Model Selection for Autocorrelated Processes in Statistical Process Control. Quality and Reliability Engineering International 33:4, pages 867-882.
Crossref
Jeffrey E. Jarrett. (2016) Total quality management (TQM) movement in public health. International Journal of Quality & Reliability Management 33:1, pages 25-41.
Crossref
Chang Zhiyuan & Sun Jinsheng. (2015) Optimal design of AEWMA control chart with new sampling strategy. Optimal design of AEWMA control chart with new sampling strategy.
Xuelong Hu & Jinsheng Sun. (2015) Synthetic X chart for AR(1) autocorrelated processes. Synthetic X chart for AR(1) autocorrelated processes.
Jeffrey E. Jarrett. (2013) The quality movement in hospital care. Quality & Quantity 48:6, pages 3153-3167.
Crossref
Bruno Chaves Franco, Giovanni Celano, Philippe Castagliola & Antonio Fernando Branco Costa. (2014) Economic design of Shewhart control charts for monitoring autocorrelated data with skip sampling strategies. International Journal of Production Economics 151, pages 121-130.
Crossref
B.C. Franco, A.F.B. Costa & M.A.G. Machado. (2012) Economic-statistical design of the chart used to control a wandering process mean using genetic algorithm. Expert Systems with Applications 39:17, pages 12961-12967.
Crossref
Chi Zhang, Zhen He & Yang Zhang. (2012) Computation of average run length for residual-based T 2 control chart for multivariate autocorrelated processes. Transactions of Tianjin University 18:4, pages 305-308.
Crossref
Abbas Saghaei, Zeynab Mosanna & Hoorie Najafi. (2011) Identifying the mean step change of UBM chart. The International Journal of Advanced Manufacturing Technology 61:5-8, pages 649-655.
Crossref
Antonio Fernando Branco Costa & Marcela Aparecida Guerreiro Machado. (2011) Variable parameter and double sampling charts in the presence of correlation: The Markov chain approach. International Journal of Production Economics 130:2, pages 224-229.
Crossref
Antonio F. B. Costa & Fernando A. E. Claro. (2007) Double sampling % MathType!Translator!2!1!AMS LaTeX.tdl!TeX -- AMS-LaTeX!% MathType!MTEF!2!1!+-% feaaeaart1ev0aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBamrr1ngBPrwtHrhAYaqeguuDJXwA% KbstHrhAGq1DVbqee0evGueE0jxyaibaieYlf9irVeeu0dXdh9vqqj% -hEeeu0xXdbba9frFj0-OqFfea0dXdd9vqaq-JfrVkFHe9pgea0dXd% ar-Jb9hs0dXdbPYxe9vr0-vr0-vqpWqaaeaabiGaciaacaqabeaada% qabqaaaOqaamaanaaabaGaamiwaaaaaaa!3C35! $$\overline{X} $$ control chart for a first-order autoregressive moving average process model. The International Journal of Advanced Manufacturing Technology 39:5-6, pages 521-542.
Crossref
V. N. A. Naikan. 2008. Handbook of Performability Engineering. Handbook of Performability Engineering 187 201 .
Fernando Antonio Elias Claro, Antonio Fernando Branco Costa & Marcela Aparecida Guerreiro Machado. (2007) Gráficos de controle de EWMA e de X-barra para monitoramento de processos autocorrelacionados. Production 17:3, pages 536-546.
Crossref
Stewart Robinson. (2007) A statistical process control approach to selecting a warm-up period for a discrete-event simulation. European Journal of Operational Research 176:1, pages 332-346.
Crossref
Nien Fan Zhang. (2006) The batched moving averages of measurement data and their applications in data treatment. Measurement 39:9, pages 864-875.
Crossref
Su-Fen Yang & Chung-Ming Yang. (2005) An approach to controlling two dependent process steps with autocorrelated observations. The International Journal of Advanced Manufacturing Technology 29:1-2, pages 170-177.
Crossref
Lei XieUwe KrugerDirk LieftuchtTim LittlerQian ChenShu-Qing Wang. (2006) Statistical Monitoring of Dynamic Multivariate Processes Part 1. Modeling Autocorrelation and Cross-correlation. Industrial & Engineering Chemistry Research 45:5, pages 1659-1676.
Crossref
C.M. Wright & M.Y. Hu. (2003) A note on detecting outliers in short autocorrelated data using joint estimation and exponentially weighted moving average. Omega 31:4, pages 319-326.
Crossref
Elvira N. Loredo, Duangporn Jearkpaporn & Connie M. Borror. (2002) Model‐based control chart for autoregressive and correlated data. Quality and Reliability Engineering International 18:6, pages 489-496.
Crossref
M. Gultekin, A.S. Hauksdottir, E.A. Elsayed & J.R. English. (2001) Statistical and automatic control of a process under a ramp input disturbance. Statistical and automatic control of a process under a ramp input disturbance.
Christine M. Wright, Michael Y. Hu & David E. Booth. (2007) Effectiveness of Joint Estimation When the Outlier Is the Last Observation in an Autocorrelated Short Time Series. Decision Sciences 30:3, pages 825-847.
Crossref
David A. West, Paul M. Mangiameli & Shaw K. Chen. (1999) Control of complex manufacturing processes: a comparison of SPC methods with a radial basis function neural network. Omega 27:3, pages 349-362.
Crossref
Marion R. ReynoldsJrJr & Chao-Wen Lu. (1997) Control charts for monitoring processes with autocorrelated data. Nonlinear Analysis: Theory, Methods & Applications 30:7, pages 4059-4067.
Crossref
LAYTH C. ALWAN & DARRELL RADSON. (2009) IMPLEMENTATION ISSUES OF TIME‐SERIES BASED STATISTICAL PROCESS CONTROL. Production and Operations Management 4:3, pages 263-276.
Crossref
Kai Yang & Angus Jeang. (1994) Statistical surface roughness checking procedure based on a cutting tool wear model. Journal of Manufacturing Systems 13:1, pages 1-8.
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.