Introduction to Statistical Process Control

1. Auflage 2013
ISBN: 978-1-4398-4799-2
Verlag: CRC Press

Buch, Englisch, 520 Seiten, Format (B × H): 160 mm x 236 mm, Gewicht: 862 g

Reihe: Chapman & Hall/CRC Texts in Statistical Science

A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon the more established techniques. The author—a leading researcher on SPC—shows how these methods can handle new applications.

After exploring the role of SPC and other statistical methods in quality control and management, the book covers basic statistical concepts and methods useful in SPC. It then systematically describes traditional SPC charts, including the Shewhart, CUSUM, and EWMA charts, as well as recent control charts based on change-point detection and fundamental multivariate SPC charts under the normality assumption. The text also introduces novel univariate and multivariate control charts for cases when the normality assumption is invalid and discusses control charts for profile monitoring. All computations in the examples are solved using R, with R functions and datasets available for download on the author’s website.

Offering a systematic description of both traditional and newer SPC methods, this book is ideal as a primary textbook for a one-semester course in disciplines concerned with process quality control, such as statistics, industrial and systems engineering, and management sciences. It can also be used as a supplemental textbook for courses on quality improvement and system management. In addition, the book provides researchers with many useful, recent research results on SPC and gives quality control practitioners helpful guidelines on implementing up-to-date SPC techniques.

Zielgruppe

Graduate and advanced undergraduate students in statistics; researchers, practitioners, and postgraduate students in statistics, industrial engineering, systems engineering, and management science.

Autoren/Hrsg.

Qiu, Peihua

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle

Inhaltsverzeichnis

Introduction. Basic Statistical Concepts and Methods. Univariate Shewhart Charts and Process Capability. Univariate CUSUM Charts. Univariate EWMA Charts. Univariate Control Charts by Change-Point Detection. Multivariate Statistical Process Control. Univariate Nonparametric Process Control. Multivariate Nonparametric Process Control. Profile Monitoring. Appendices. Bibliography. Index.

Über Autor(innen)

Peihua Qiu, Ph.D., is the founding chair of the Department of Biostatistics at the University of Florida. He was previously a professor in the School of Statistics at the University of Minnesota. He is the editor of Technometrics, an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. His research focuses on jump regression analysis, medical image analysis, statistical methods for monitoring processes, and patient survival data analysis.