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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 30, 1998 - Issue 4
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Articles

Robustness of Forecast-Based Monitoring Schemes

Benjamin M. AdamsUniversity of Alabama, Tuscaloosa, AL35487-0226View further author information
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Iou-Tsyr TsengDA-Yeh University, Chang-Hwa, TaiwanView further author information
Pages 328-339 | Published online: 20 Feb 2018

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Scott D. Grimshaw. (2023) Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator. Journal of Quality Technology 55:3, pages 349-365.
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Scott D. Grimshaw. (2022) A consistent data model for different data granularity in control charts. Quality Engineering 34:2, pages 290-303.
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Peihua Qiu, Wendong Li & Jun Li. (2020) A New Process Control Chart for Monitoring Short-Range Serially Correlated Data. Technometrics 62:1, pages 71-83.
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Erdi Dasdemir, Christian Weiß, Murat Caner Testik & Sven Knoth. (2016) Evaluation of Phase I analysis scenarios on Phase II performance of control charts for autocorrelated observations. Quality Engineering 28:3, pages 293-304.
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Burcu Aytacoglu & Hakan S. Sazak. (2015) A Robust Control Chart for Monitoring the Mean of an Autocorrelated Process. Communications in Statistics - Simulation and Computation 44:7, pages 1787-1800.
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Huairui Guo, Kamran Paynabar & Jionghua Jin. (2012) Multiscale monitoring of autocorrelated processes using wavelets analysis. IIE Transactions 44:4, pages 312-326.
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Jianbo Yu & Jianping Liu. (2011) LRProb control chart based on logistic regression for monitoring mean shifts of auto-correlated manufacturing processes. International Journal of Production Research 49:8, pages 2301-2326.
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Giovanna Capizzi & Guido Masarotto. (2009) Bootstrap-based design of residual control charts. IIE Transactions 41:4, pages 275-286.
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J. B. Yu & L. F. Xi. (2008) Using an chart based on a self-organizing map NN to monitor out-of-control signals in manufacturing processes. International Journal of Production Research 46:21, pages 5907-5933.
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Daniel W. Apley & Hyun Cheol Lee. (2008) Robustness Comparison of Exponentially Weighted Moving-Average Charts on Autocorrelated Data and on Residuals. Journal of Quality Technology 40:4, pages 428-447.
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Giovanna Capizzi & Guido Masarotto. (2008) Practical Design of Generalized Likelihood Ratio Control Charts for Autocorrelated Data. Technometrics 50:3, pages 357-370.
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Willis A. Jensen, L. Allison Jones-Farmer, Charles W. Champ & William H. Woodall. (2006) Effects of Parameter Estimation on Control Chart Properties: A Literature Review. Journal of Quality Technology 38:4, pages 349-364.
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Daniel W Apley & Hyun Cheol Lee. (2003) Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty. Technometrics 45:3, pages 187-198.
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Wei Jiang, Huaiqing Wu, Fugee Tsung, Vijayan N Nair & Kwok Leung Tsui. (2002) Proportional Integral Derivative Charts for Process Monitoring. Technometrics 44:3, pages 205-214.
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Orlando O. Atienza, L. C. Tang & B. W. Ang. (2002) A CUSUM Scheme for Autocorrelated Observations. Journal of Quality Technology 34:2, pages 187-199.
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Daniel W. Apley & Fugee Tsung. (2002) The Autoregressive T2 Chart for Monitoring Univariate Autocorrelated Processes. Journal of Quality Technology 34:1, pages 80-96.
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Chao-Wen Lu & Marion R. Reynolds$suffix/text()$suffix/text(). (2001) Cusum Charts for Monitoring an Autocorrelated Process. Journal of Quality Technology 33:3, pages 316-334.
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Wei Jiang, Kwok-Leung Tsui & WilliamH. Woodall. (2000) A New SPC Monitoring Method: The ARMA Chart. Technometrics 42:4, pages 399-410.
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ZacharyG. Stoumbos, MarionR. Reynolds$suffix/text()$suffix/text(), ThomasP. Ryan & WilliamH. Woodall. (2000) The State of Statistical Process Control as We Proceed into the 21st Century. Journal of the American Statistical Association 95:451, pages 992-998.
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Haitao Wang & Youming Chen. (2016) A robust fault detection and diagnosis strategy for multiple faults of VAV air handling units. Energy and Buildings 127, pages 442-451.
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Haitao Wang. (2016) Application of Residual-Based EWMA Control Charts for Detecting Faults in Variable-Air-Volume Air Handling Unit System. Journal of Control Science and Engineering 2016, pages 1-7.
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Don G. Wardell. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Shichang Du & Jun Lv. (2013) Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes. International Journal of Production Economics 141:1, pages 377-387.
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Chen-ju Lin & W. L. Pearn. (2011) Efficient Tool Replacement Procedure Based on Yield Evaluation. Journal of Testing and Evaluation 39:3, pages 474-480.
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Hyun Cheol Lee & Daniel W. Apley. (2011) Improved design of robust exponentially weighted moving average control charts for autocorrelated processes. Quality and Reliability Engineering International 27:3, pages 337-352.
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Daniel W. Apley & Hyun Cheol Lee. (2010) The effects of model parameter deviations on the variance of a linearly filtered time series. Naval Research Logistics (NRL) 57:5, pages 460-471.
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Chih-Chou Chiu, Shin-Ying Hwang, Deborah F. Cook & Yuan-Ping Luh. (2009) Process disturbance identification through integration of spatiotemporal ICA and CART approach. Neural Computing and Applications 19:5, pages 677-689.
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Bin Wu & Jian-bo Yu. (2010) A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes. Expert Systems with Applications 37:6, pages 4058-4065.
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CANAN BILEN. (2011) MONITORING AUTOCORRELATED PROCESSES WITH WAVELETS. International Journal of Reliability, Quality and Safety Engineering 17:02, pages 133-156.
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Willis A. Jensen, G. Rex Bryce & Marion R. ReynoldsJrJr. (2008) Design issues for adaptive control charts. Quality and Reliability Engineering International 24:4, pages 429-445.
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Changliang Zou, Zhaojun Wang & Fugee Tsung. (2007) Monitoring autocorrelated processes using variable sampling schemes at fixed‐times. Quality and Reliability Engineering International 24:1, pages 55-69.
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Don G. Wardell. 2007. Encyclopedia of Statistics in Quality and Reliability. Encyclopedia of Statistics in Quality and Reliability.
Xia Pan. (2005) Notes on shift effects for T2-type charts on multivariate ARMA residuals. Computers & Industrial Engineering 49:3, pages 381-392.
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Philippe Castagliola & Fugee Tsung. (2005) Autocorrelated SPC for Non-Normal Situations. Quality and Reliability Engineering International 21:2, pages 131-161.
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R. Noorossana, M. Farrokhi & A. Saghaei. (2003) Using Neural Networks to Detect and Classify Out‐of‐control Signals in Autocorrelated Processes. Quality and Reliability Engineering International 19:6, pages 493-504.
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Harriet Black Nembhard, Nicola J. Ferrier, Tim A. Osswald & Juan R. Sanz‐Uribe. (2003) An integrated model for statistical and vision monitoring in manufacturing transitions. Quality and Reliability Engineering International 19:6, pages 461-476.
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Daniel W. Apley. (2002) Time Series Control Charts in the Presence of Model Uncertainty. Journal of Manufacturing Science and Engineering 124:4, pages 891-898.
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B.L. MacCarthy & Thananya Wasusri. (2002) A review of non‐standard applications of statistical process control (SPC) charts. International Journal of Quality & Reliability Management 19:3, pages 295-320.
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R. Fried, U. Gather & M. Imhoff. 2002. Computational Intelligence Processing in Medical Diagnosis. Computational Intelligence Processing in Medical Diagnosis 129 172 .
Harriet Black Nembhard & Ming Shu Kao. (2001) A forecast‐based monitoring methodology for process transitions. Quality and Reliability Engineering International 17:4, pages 307-321.
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