This text book on INTEGRATED STATISTICAL AND AUTOMATIC PROCESS CONTROL covers mathematical process and stochastic modeling, algorithm development, simulation principles, analysis of simulation results to develop process regulation schemes for cost effective and efficient process control and statistical control procedures for producing quality products. Manufacturing processes, in order to provide good quality products that satisfy the needs of customers at affordable cost, need to be controlled during process operations. Different types of processes require different types of control that may be either simple or complex. In this book, an integrated statistical and process model of Automatic Process Control (APC) and Statistical Process Control (SPC) is developed by using the tools and techniques of the two different process control disciplines when overlapping at their interface. These regulation schemes and control procedures will be of practical use and value in industry through the hybrid process and quality control of the manufacturing processes and products.
Preface / Acknowledgement / Introduction to the Development of Process Control Methodologies / Mathematical, Statistical and Cost Models / Process Control Algorithm for Process and Product Quality Control / Discussion and Analysis of Stochastic (Statistical) Feedback Control Adjustment / Sampled Data - Control to Minimise Output Product Variance / Process Control for Product Quality / Parallel Processing Computer Architectures for Process Control / Cost Modelling for Process and Product Quality Control / Applications in Product Quality Control / Conclusion / Index.
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