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Improved p charts to monitor process quality

✍ Scribed by CESAR A. Acosta-Mejia

Book ID
110252683
Publisher
Taylor and Francis Group
Year
1999
Tongue
English
Weight
182 KB
Volume
31
Category
Article
ISSN
0740-817X

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Multivariate statistical process control MSPC is applied to an electrolysis process. The process produces extremely pure copper, and to monitor its quality the levels of eight metal impurities were recorded twice a day. These quality data are anal-Ε½ . Ε½ . ysed adopting an 1 'intuitive' univariate ap