Hybrid system for modeling and optimization of production chain in metal forming

The paper presents design and implementation of the hybrid system, which is the part of investigation focused on application of multiscale modeling in simulation of real industrial processes. The hybrid system is dedicated to support production processes based on metal forming, by using artificial intelligence and optimization algorithms. The proposed system is based on the multilayer architecture and consists of several functional components responsible for management of production process, modeling and simulations and, finally, optimization. The latter module aims at searching for optimial parameters of selected production processes, which form production chain, i.e. rod rolling and cold forging. Optimization is performed using results obtained from multiscale modeling calculations. Then, the optimized approach is passed directly to the configuration and control centre of the real industrial process as a feedback to obtain better quality of products employing lower costs of manufacturing. Moreover, the hybrid system is designed to exchange information with other external systems implemented inside an enterprise e.g. ERP and its modules. The internal structure of presented system is described in the paper, as well as measurable advantages of hybrid system application to real environment.