Artificial Intelligence Techniques within a Technological Process of Manufacturing Automated Control Systems

The solution of quality control problems in production is in many ways like the optimization of automated control systems of technological processes. These issues are decided using mathematical methods of operations exploration, numerical minimization methods and others.One of the new and effective methods of analyzing the state of the production system in industry 4.0 is neural network data analysis. The ongoing research on the use of neural networks is aimed at their use in solving production management problems.It is proposed to use artificial intelligence apparatus to optimize separate multi-nomenclature production. Each new task of optimal choice of parameters for the structure of production should be based on previously revealed decisions. Thus, it is proposed to create a learning system that provides a solution based on the accumulated "knowledge". Neural networks appertain to such systems [7]–[12].Neural networks will solve 2 tasks:• will be an "add-on" over the existing Product Lifecycle Management and Enterprise Resource Planning functionality at enterprises;• will take into account factors affecting production.The proposed approach should expand the enterprise's mobility capabilities in making managerial decisions at all levels of management, throughout the life cycle. The models being developed should become a functional extension of digital production processes.