Special Report on
Multivariate Statistical Process Control
Multivariate Statistical Process Control - Trends
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While a univariate approach may well indeed work for monitoring a small number of process variables, current trends in data acquisition hardware allow a large number of variables to be easily measured and application to larger multivariable systems becomes difficult, if not impossible, with univariate methods. This simplified approach to process monitoring requires an operator to continuously monitor perhaps dozens of different univariate charts, which substantially reduces his ability to make accurate assessments about the state of the process. Multivariable statistical process monitoring (MSPM) techniques have been developed ...
(Northwest Analytical Inc.: Portland, OR) -- Northwest Analytical Inc. (NWA) introduces the next generation of quality analytics with NWA Quality Analyst v. 6.2 software. This version update provides improved performance, new tools for breaking down data, and two new companion modules—multivariate statistical process control (SPC), and stability/shelf life prediction statistics. These new modules represent a breakthrough in bringing the power of sophisticated statistical methods to everyday process engineering and quality management. Multivariate SPC enhances the analysis of complex ... Read More
SURVEY RESULTS FOR
MULTIVARIATE STATISTICAL PROCESS CONTROL
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