• The Shewhart control charts, used for monitoring industrial processes, are the most popular tools in Statistical Process Control (SPC). They are usually developed under the assumption of independent and normally distributed data, an assumption rarely true in practice, and implemented with estimated control limits. But in general, we essentially want to control the process mean value and the p...

In industrial manufacturing, most batch processes are inherently multistage/multiphase in nature. To ensure both quality consistency of the manufactured products and safe operation of this kind of batch process, different multivariate statistical process control (MSPC) methods have been proposed in recent years. This paper gives an overview of multistage/multiphase statistical process control m...

CONTENTS SUMMARY 1. WHAT IS ADVANCED CONTROL? 2. PROCESS MODELS 2.1. Mechanistic Models 2.2. Black Box Models 2.3. Qualitative Models 2.4. Statistical Models 3. MODEL BASED (MODERN) AUTOMATIC CONTROL 3.1. PID Control 3.2. Predictive Constrained Control 3.3. Multivariable Control 3.4. Robust Control and the Internal Model Principle 3.5. Globally Linearising Control 4. STATISTICAL PROCESS CONTR...

In some statistical process monitoring applications, quality of a process or product is described by more than one ordinal factors called ordinal multivariate process. To show the relationship between these factors, an ordinal contingency table is used and modeled with ordinal log-linear model. In this paper, a new control charts based on ordinal-normal statistic is developed to monitor the ord...