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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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783659561047
Quantità: 2 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783659561047
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Condizione: 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 . Codice articolo 158874702
Quantità: Più di 20 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783659561047
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: 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. Codice articolo 113179724
Quantità: 5 disponibili
Da: Mispah books, Redhill, SURRE, Regno Unito
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82936595610456
Quantità: 1 disponibili