Multivariate Quality Control: Theory and Applications

by Camil Fuchs, Ron S. Kenett

Overview

Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlighting multivariate profile charts.

Product Details

ISBN-13:	9780367579326
Publisher:	CRC Press
Publication date:	06/30/2020
Series:	Quality and Reliability
Pages:	224
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Camil Fuchs, Ron S. Kanett

Table of Contents

Quality control with multivariate data; the multivariate normal distribution in quality control; quality control with externally assigned targets; quality control with internal targets - multivariate process capability studies; quality control with targets from a reference sample; analyzing data with multivariate control charts; detection of out-of-control characteristics; the statistical tolerance regions approach; multivariate quality control with units in batches; applications of principal components; additional graphical techniques for multivariate quality control; implementing multivariate quality control; appendix 1 - MINITAB (TM) macros for multivariate quality control; appendix 2 - the data from case studies; appendix 3 - review of matrix algebra for statistics with MINIATB (TM) computations.

Editorial Reviews

"This monograph is a practical introduction to the concepts and execution of multivariate quality control in industrial settings. . .. . . .nice supplementary text for advanced students, or a reference for seasoned professionals. "
—-ISI Short Book Reviews

From the Publisher

This monograph is a practical introduction to the concepts and execution of multivariate quality control in industrial settings.... ...nice supplementary text for advanced students, or a reference for seasoned professionals.

ISI Short Book Reviews

Provides a practical introduction to multivariate quality control, focusing on typical quality control problem formulations and relying on case studies and MINITAB computer macros to illustrate basic and advanced quality control methods in organizational and industrial contexts. Coverage includes statistical tolerance regions, computer graphic analysis techniques, multivariate control charts, and methods for detecting variables that cause out-of-control signals. Appendices offer MINITAB macros, data from case studies, and a review of matrix algebra for statistics with MINITAB computations. Can be used in university courses, especially one-semester courses in statistical process control or industrial statistics, in industrial workshops, and as a reference. Requires access to MINITAB 11.0 or higher. Annotation c. by Book News, Inc., Portland, Or.

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