Box / Luceño / Paniagua-Quinones Statistical Control by Monitoring and Adjustment

2. Auflage 2011
ISBN: 978-1-118-16446-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 360 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Praise for the First Edition
"This book . . . is a significant addition to the literature onstatistical practice . . . should be of considerable interest tothose interested in these topics."--International Journal ofForecasting
Recent research has shown that monitoring techniques alone areinadequate for modern Statistical Process Control (SPC), and thereexists a need for these techniques to be augmented by methods thatindicate when occasional process adjustment is necessary.Statistical Control by Monitoring and Adjustment, Second Editionpresents the relationship among these concepts and elementary ideasfrom Engineering Process Control (EPC), demonstrating how thepowerful synergistic association between SPC and EPC can solvenumerous problems that are frequently encountered in processmonitoring and adjustment.
The book begins with a discussion of SPC as it was originallyconceived by Dr. Walter A. Shewhart and Dr. W. Edwards Deming.Subsequent chapters outline the basics of the new integration ofSPC and EPC, which is not available in other related books.Thorough coverage of time series analysis for forecasting, processdynamics, and non-stationary models is also provided, and thesesections have been carefully written so as to require only anelementary understanding of mathematics. Extensive graphicalexplanations and computational tables accompany the numerousexamples that are provided throughout each chapter, and a helpfulselection of problems and solutions further facilitatesunderstanding.
Statistical Control by Monitoring and Adjustment, Second Editionis an excellent book for courses on applied statistics andindustrial engineering at the upper-undergraduate and graduatelevels. It also serves as a valuable reference for statisticiansand quality control practitioners working in industry.

Autoren/Hrsg.

Box, George E. P.

Luceño, Alberto

Paniagua-Quinones, Maria del Carmen

Inhaltsverzeichnis

Preface.
Chapter 1: Introduction and Statistics Revision.
Chapter 2: Standard Control Charts: A First Approximation.
Chapter 3: What Can Go Wrong and What Can We Do About It?
Chapter 4: Introduction to Forecasting and Process Dynamics.
Chapter 5: Non-Stationary Time Series Models for ProcessDisturbances.
Chapter 6: Repeated Feedback Adjustment.
Chapter 7: Periodic Adjustment.
Chapter 8: Control of a Process with Inertia.
Chapter 9: Explicit Consideration of Monetary Cost.
Chapter 10: Cuscore Charts: Looking for Signals in Noise.
Chapter 11: Monitoring an Operating Feedback System.
Chapter 12: A Brief Review of Time Series Analysis.
Bibliography and Further Reading.

Über Autor(innen)

GEORGE E. P. BOX, PHD, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin-Madison. He is a Fellow of the Royal Society of London and the American Academy of Arts and Sciences. He is an honorary Fellow and Shewart and Deming Medalist of the American Society for Quality and an honorary member of the International Statistical Institute. He is also the recipient of the Samuel S. Wilks Memorial Medal of the American Statistical Association and the Guy Medal in Gold of the Royal Statistical Society. Dr. Box is the coauthor of Statistics for Experimenters: Design, Innovation, and Discovery, Second Edition; Response Surfaces, Mixtures, and Ridge Analyses, Second Edition; Evolutionary Operation: A Statistical Method for Process Improvements; Improving Almost Anything: Ideas and Essays, Revised Edition; Time Series Analysis: Forecasting and Control, Fourth Edition; and Bayesian Interface and Statistical Analyses, all published by Wiley. ALBERTO LUCEÑO, PHD, is Professor in the ETS de Ingenieros de Caminos at the University of Cantabria, Spain. He is an Associate Editor of the Journal of Quality Technology and Statistical Modelling: An International Journal. MARÍA DEL CARMEN PANIAGUA-QUIÑONES, PHD, is Visiting Assistant Professor in the School of Industrial Engineering at Purdue University. Her research interests include experimental design, quality productivity, and engineering management and control process improvement. She was the recipient of the Brumbaugh Award of the American Society for Quality for Best Technical Paper in 2007.