Multivariate statistical process control with industrial applications / Robert L. Mason, John C. Young.

Format:

Book

Author/Creator:

Mason, Robert L. (Robert Lee), 1946-

Contributor:

Young, John C., 1942-

Society for Industrial and Applied Mathematics.

Series:

ASA-SIAM series on statistics and applied probability ; 9.

ASA-SIAM series on statistics and applied probability ; 9

Language:

English

Subjects (All):

Process control--Statistical methods.

Process control.

Physical Description:

1 electronic text (xiii, 263 p. : ill.) : digital file.

Place of Publication:

Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2002.

Language Note:

English

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Summary:

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 T2 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 the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 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.

Contents:

Preface

Chapter 1: Introduction to the T2 Statistic

Chapter 2: Basic Concepts about the T2 Statistic

Chapter 3: Checking Assumptions for Using a T2 Statistic

Chapter 4: Construction of Historical Data Set

Chapter 5: Charting the T2 Statistic in Phase I

Chapter 6: Charting the T2 Statistic in Phase II

Chapter 7: Interpretation of T2 Signals for Two Variables

Chapter 8: Interpretation of T2 Signals for the General Case

Chapter 9: Improving the Sensitivity of the T2 Statistic

Chapter 10: Autocorrelation in T2 Control Charts

Chapter 11: The T2 Statistic and Batch Processes

Appendix: Distribution Tables

Bibliography

Index.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references (p. 253-257) and index.

Title from title screen, viewed 10/20/2010.

Description based on title page of print version.

ISBN:

0-89871-846-5

Publisher Number:

SA09 siam

SA09 SIAM