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Quality Engineering Volume 20, 2008 - Issue 2
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Original Articles

Statistical Control of Multiple-Stream Processes: A Shewhart Control Chart for Each Stream

Nora S. Meneces School of Engineering, Industrial Production Department, University of the Republic of Uruguay, UruguayCorrespondence[email protected]
,
Silvino A. Olivera University of the Republic of Uruguay, School of Chemistry, Estrella Campos Department, University of the Republic of Uruguay, Uruguay
,
Carlos D. Saccone School of Engineering, Industrial Production Department, University of the Republic of Uruguay, Uruguay
&
Julio Tessore School of Engineering, Industrial Production Department, University of the Republic of Uruguay, Uruguay
Pages 185-194 | Published online: 18 Apr 2008

Citations (14)

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Read on this site (4)

Austin R. Brown. (2022) The alternative distribution of the non parametric extended median test CUSUM chart for multiple stream processes. Communications in Statistics - Theory and Methods 51:16, pages 5750-5761.
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Austin R. Brown & Jay R. Schaffer. (2021) A nonparametric CUSUM control chart for multiple stream processes based on a modified extended median test. Communications in Statistics - Theory and Methods 50:24, pages 6067-6080.
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Amir Ahmadi-Javid & Mohsen Ebadi. (2021) A two-step method for monitoring normally distributed multi-stream processes in high dimensions. Quality Engineering 33:1, pages 143-155.
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Yanjing Ou, Zhang Wu, Michael B. C. Khoo & Nan Chen. (2015) A rational sequential probability ratio test control chart for monitoring process shifts in mean and variance. Journal of Statistical Computation and Simulation 85:9, pages 1765-1781.
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Articles from other publishers (10)

Damaris Chieregato Vicentin, Pedro Carlos Oprime & Ricardo Coser Mergulhão. (2022) Comparative case study of finite mixture and T2-Hotelling control charts for multiple stream monitoring. The International Journal of Advanced Manufacturing Technology 123:9-10, pages 3233-3242.
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Antonio Lepore, Biagio Palumbo & Gianluca Sposito. (2022) Neural network based control charting for multiple stream processes with an application to HVAC systems in passenger railway vehicles. Applied Stochastic Models in Business and Industry 38:5, pages 862-883.
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Ioannis S. TriantafyllouMangey Ram. (2021) Distribution-Free CUSUM-Type Control Charts for Monitoring Industrial Processes: An Overview. International Journal of Mathematical, Engineering and Management Sciences 6:4, pages 975-1008.
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Moshe Pollak. (2021) A rule of thumb: Run lengths to false alarm of many types of control charts run in parallel on dependent streams are asymptotically independent. The Annals of Statistics 49:1.
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Bruno Francisco Teixeira Simões & Eugenio Kahn Epprecht. (2021) An EWMA control chart for the mean of individual streams in multiple stream processes. Gestão & Produção 28:3.
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Devashish Das, Yong Chen, Shiyu Zhou & Crispian Sievenpiper. (2016) Monitoring of Multiple Binary Data Streams using a Hierarchical Model Structure. Quality and Reliability Engineering International 32:4, pages 1307-1319.
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Eugenio K. Epprecht. 2015. Frontiers in Statistical Quality Control 11. Frontiers in Statistical Quality Control 11 49 64 .
Fadel M. Megahed & L. Allison Jones-Farmer. 2015. Frontiers in Statistical Quality Control 11. Frontiers in Statistical Quality Control 11 29 47 .
Anna Rotondo, Paul Young & John Geraghty. (2012) Quality risk prediction at a non-sampling station machine in a multi-product, multi-stage, parallel processing manufacturing system subjected to sequence disorder and multiple stream effects. Annals of Operations Research 209:1, pages 255-277.
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Eugenio Kahn Epprecht, Laura França Marques Barbosa & Bruno Francisco Teixeira Simões. (2011) SPC of multiple stream processes: a chart for enhanced detection of shifts in one stream. Production 21:2, pages 242-253.
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