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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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783659561047
Seller: moluna, Greven, Germany
Condition: 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 . Seller Inventory # 158874702
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783659561047
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Taschenbuch. Condition: 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. Seller Inventory # 9783659561047
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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. Seller Inventory # 113179724
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA82936595610456