This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.
Table of Contents
1. Introduction Section I: Key Issues and Implementation Strategies 2. Process Control in Automated Manufacturing: Some Key 3. Implementation Strategies for On-Line Statistical Process Control Systems Section II: Time Series Applications in Statistical Process Control 4. Times Series Modeling for Statistical Process Control 5. Statistical Process Control in a Computer-Integrated Manufacturing Environment 6. The Relationship Between Certain Kalman Filter Models and Exponential Smoothing Models 7. An Application of Adaptive Kalman Filtering to Statistical Process Control 8. A Multivariate and Stochastic Framework for Statistical Process Control Section III: Innovative Techniques for Statistical Process Control 9. Generalized Control Charting Section IV: Statistical Databases for Process Control 10. Statistical Databases for Automated Manufacturing Section V: Knowledge-Based Systems in Process Control 11. An Expert System Tool for Real-Time Control 12. Sensor Fusion Section VI: Real-Time Machine Tool Control 13. A Real-Time Control System for a CNC Machine Tool Based on Deterministic Metrology