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On Efficient Performance Monitoring of Control Charts: Statistical Process Control Charts - Tapa blanda
Sinopsis
To monitor process variability of products in manufacturing environments has been a challenging issue in all the times. Statistical Process Control (SPC) charts are useful to detect process variability due to specific assignable causes. The Artificial Neural Network (ANN) is also a recommended alternative to the aforementioned charting technique for detecting process parameters. This study gives attention to the use of ANN for monitoring process dispersion parameter and robust charting for location parameter using different runs rules schemes and considering the bootstrapping scenario as well.
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Reseña del editor
To monitor process variability of products in manufacturing environments has been a challenging issue in all the times. Statistical Process Control (SPC) charts are useful to detect process variability due to specific assignable causes. The Artificial Neural Network (ANN) is also a recommended alternative to the aforementioned charting technique for detecting process parameters. This study gives attention to the use of ANN for monitoring process dispersion parameter and robust charting for location parameter using different runs rules schemes and considering the bootstrapping scenario as well.
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On Efficient Performance Monitoring of Control Charts
Publicado por
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659561045
ISBN 13: 9783659561047
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To monitor process variability of products in manufacturing environments has been a challenging issue in all the times. Statistical Process Control (SPC) charts are useful to detect process variability due to specific assignable causes. The Artificial Neural Network (ANN) is also a recommended alternative to the aforementioned charting technique for detecting process parameters. This study gives attention to the use of ANN for monitoring process dispersion parameter and robust charting for location parameter using different runs rules schemes and considering the bootstrapping scenario as well. 88 pp. Englisch. Nº de ref. del artículo: 9783659561047
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On Efficient Performance Monitoring of Control Charts : Statistical Process Control Charts
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659561045
ISBN 13: 9783659561047
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To monitor process variability of products in manufacturing environments has been a challenging issue in all the times. Statistical Process Control (SPC) charts are useful to detect process variability due to specific assignable causes. The Artificial Neural Network (ANN) is also a recommended alternative to the aforementioned charting technique for detecting process parameters. This study gives attention to the use of ANN for monitoring process dispersion parameter and robust charting for location parameter using different runs rules schemes and considering the bootstrapping scenario as well. Nº de ref. del artículo: 9783659561047
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On Efficient Performance Monitoring of Control Charts
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659561045
ISBN 13: 9783659561047
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zaman BabarStatistician, Research Department, King Khaled Eye Specialist Hospital, Riyadh, Kingdom of Saudia Arabia.To monitor process variability of products in manufacturing environments has been a challenging issue in all the . Nº de ref. del artículo: 158874702
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On Efficient Performance Monitoring of Control Charts
Publicado por
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659561045
ISBN 13: 9783659561047
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -To monitor process variability of products in manufacturing environments has been a challenging issue in all the times. Statistical Process Control (SPC) charts are useful to detect process variability due to specific assignable causes. The Artificial Neural Network (ANN) is also a recommended alternative to the aforementioned charting technique for detecting process parameters. This study gives attention to the use of ANN for monitoring process dispersion parameter and robust charting for location parameter using different runs rules schemes and considering the bootstrapping scenario as well.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Nº de ref. del artículo: 9783659561047
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On Efficient Performance Monitoring of Control Charts | Statistical Process Control Charts
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659561045
ISBN 13: 9783659561047
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. On Efficient Performance Monitoring of Control Charts | Statistical Process Control Charts | Babar Zaman (u. a.) | Taschenbuch | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659561047 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 113179724
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