This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T"2" statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into T"2" statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T"2" control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase where emphasis is placed on signal location and interpretation in terms of the process variables. Specifically devoted to the T"2" methodology, Multivariate Statistical Process Control: With Industrial Applications is the only book available that concisely and thoroughly presents such topics as how to construct a historical data set; how to check the necessary assumptions used with this procedure; how to chart the T"2" statistic; how to interpret its signals; how to use the chart in the presence of autocorrelated data; and how to apply the procedure to batch processes. Unique and easy-to-apply software specifically designed for the application of a T"2" control procedure is included.
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