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Quality Engineering Volume 29, 2017 - Issue 1: Special Issue on the Fourth Stu Hunter Research Conference
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Original Article

Bridging the gap between theory and practice in basic statistical process monitoring

William H. WoodallDepartment of Statistics, Virginia Tech, Blacksburg, VirginiaCorrespondence[email protected]
Pages 2-15 | Published online: 19 Jul 2016

Citations (21)

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Read on this site (18)

I. M. Zwetsloot, L. A. Jones-Farmer & W. H. Woodall. (2023) Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering 0:0, pages 1-13.
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Akira Suzuki, Hidetoshi Murakami & Amitava Mukherjee. (2023) Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time. Journal of Applied Statistics 50:4, pages 827-847.
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Jong-Min Kim & Il Do Ha. (2022) Deep learning-based residual control chart for count data. Quality Engineering 34:3, pages 370-381.
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Mohsen Ebadi, Shojaeddin Chenouri, Dennis K. J. Lin & Stefan H. Steiner. (2022) Statistical monitoring of the covariance matrix in multivariate processes: A literature review. Journal of Quality Technology 54:3, pages 269-289.
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Martin G. C. Sarmiento, Felipe S. Jardim, Subhabrata Chakraborti & Eugenio K. Epprecht. (2022) Design of variance control charts with estimated parameters: A head to head comparison between two perspectives. Journal of Quality Technology 54:3, pages 249-268.
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Pedro Carlos Oprime, Márcio Lopes Pimenta, Daniel Jugend & Roy Andersson. (2021) Financial impacts of innovation in Six Sigma projects. Total Quality Management & Business Excellence 32:7-8, pages 829-851.
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Amir Baghdadi, Lora A. Cavuoto, Allison Jones-Farmer, Steven E. Rigdon, Ehsan T. Esfahani & Fadel M. Megahed. (2021) Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters. Journal of Quality Technology 53:1, pages 47-71.
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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.
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Giovanna Capizzi & Guido Masarotto. (2020) Guaranteed in-control control chart performance with cautious parameter learning. Journal of Quality Technology 52:4, pages 385-403.
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Patrick D. Bourke. (2020) Detecting a downward shift in a proportion using a geometric CUSUM chart. Quality Engineering 32:1, pages 75-90.
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Fadel M. Megahed. (2019) Discussion on “Real-time monitoring of events applied to syndromic surveillance”. Quality Engineering 31:1, pages 97-104.
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Patrick D. Bourke. (2018) Choosing parameter values for a geometric CUSUM chart for detecting an upward shift in a proportion. Quality Engineering 30:4, pages 621-634.
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John Sall. (2018) Scaling-up process characterization. Quality Engineering 30:1, pages 62-78.
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Willis A. Jensen, Douglas C. Montgomery, Fugee Tsung & G. Geoffrey Vining. (2018) Rejoinder. Journal of Quality Technology 50:1, pages 31-33.
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M. D. Diko, R. Goedhart, S. Chakraborti, R. J. M. M. Does & E. K. Epprecht. (2017) Phase II control charts for monitoring dispersion when parameters are estimated. Quality Engineering 29:4, pages 605-622.
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Inez M. Zwetsloot & William H. Woodall. (2017) A head-to-head comparative study of the conditional performance of control charts based on estimated parameters. Quality Engineering 29:2, pages 244-253.
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L. Allison Jones-Farmer & Nathaniel T. Stevens. (2017) Discussion of “Bridging the gap between theory and practice in basic statistical process monitoring”. Quality Engineering 29:1, pages 22-26.
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Rob Goedhart, Marit Schoonhoven, Inez M. Zwetsloot & Ronald J. M. M. Does. (2017) Discussion of “Bridging the gap between theory and practice in basic statistical process monitoring”. Quality Engineering 29:1, pages 18-21.
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Articles from other publishers (3)

Tobias Biegel, Patrick Helm, Nicolas Jourdan & Joachim Metternich. (2023) SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes. Journal of Intelligent Manufacturing.
Crossref
Reinaldo A. G. Simões, Gibson Weydmann, Roberto Decker, Marcelo F. L. Benvenuti, Miguel Á. Muñoz & Lisiane Bizarro. (2021) Statistical process control charts for better analysis of sequential data in psychology: The case of illusion of control experiments. Behavior Research Methods 54:1, pages 475-492.
Crossref
Souha Ben Amara, Jamel Dhahri & Nabil Ben Fredj. 2018. Design and Modeling of Mechanical Systems—III. Design and Modeling of Mechanical Systems—III 845 853 .

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