Advanced Quality Control Systems Using Intelligent Modeling and Simulation Methods

Abstract

Quality management and control is a basic and important activity needed along the production process. From raw material to the final product, quality control and testing need an online measurement , control, evaluation and management. Generally, the management system is based on continuous measurements and improvement which is affected by several factors such as environmental perturbations and physical constraints. Methods and techniques of modeling and identification based on the first principle, black and gray box models are widely used. Because the systems are complex such as the mechanical testing where complex effects and interactions take place, it is strongly recommended to use a data driven empirical model. Such a model is based on the analysis of interactions between variables, data exploration, and modeling. The quality management of engineering process is a complex system defined by multivariate interactions between products and processes, where several factors such as the structure and others parameters must be processed to obtain a reliable model for online prediction of the quality behavior of the considered elements. In this work, new methods and techniques will be considered, essentially based on the intelligent approach such as the monitoring of the quality indexes—based model. These approaches are applied to quality monitoring and management of iron and steel products and processes. To give an optimal and a certified or accredited system, intelligent methods and techniques are strongly recommended. The objective of this chapter is to give the main principles of the management of engineering system—based intelligent methods.