Statistical control by monitoring and adjustment / George E.P. Box, Alberto Luceño, María del Carmen Paniagua-Quiñones.

Includes bibliographical references (pages 307-320) and index.

Standard control charts under ideal conditions as a first approximation -- What can go wrong and what can we do about it? -- Introduction to forecasting and process dynamics -- Nonstationary time series models for process disturbances -- Repeated-feedback adjustment -- Periodic adjustment -- Control of process with inertia -- Explicit consideration of monetary cost -- Cuscore charts : looking for signals in noise -- Monitoring an operating feedback system -- Brief review of time series analysis.

"Recent research has shown that monitoring techniques alone are inadequate for modern Statistical Process Control (SPC), and there exists a need for these techniques to be augmented by methods that indicate when occasional process adjustment is necessary. Statistical Control by Monitoring and Adjustment, Second Edition presents the relationship among these concepts and elementary ideas from Engineering Process Control (EPC), demonstrating how the powerful synergistic association between SPC and EPC can solve numerous problems that are frequently encountered in process monitoring and adjustment. The book begins with a discussion of SPC as it was originally conceived by Dr. Walter A. Shewhart and Dr. W. Edwards Deming. Subsequent chapters outline the basics of the new integration of SPC and EPC, which is not available in other related books. Thorough coverage of time series analysis for forecasting, process dynamics, and non-stationary models is also provided, and these sections have been carefully written so as to require only an elementary understanding of mathematics. Extensive graphical explanations and computational tables accompany the numerous examples that are provided throughout each chapter, and a helpful selection of problems and solutions further facilitates understanding."--Publisher's description.

Print version record.