Artificial intelligence toolsin simulation and optimization of production systems

摘要: This article deals with solution developed as a cooperation of Industrial engineering department, University Žilina and Central European Institute Technology (CEIT SK). Proposed involves simulation support virtual reality for searching engineer-accepted manufacturing system state (so called "optimal"). Article includes basic information about evolution methods genetic algorithms. Authors own algorithm, which is based on use used optimization. Outcomes compares the speed convergence chosen Witness optimization algorithms authors-developed algorithm. Comparison presented project from industrial praxis. 1 MODELING AND SIMULATION Modeling have been known quite long time period. Their success connected mainly modern informatics technologies. But in praxis they are not recognized well only huge enterprises corporations. The consequences wrong innovation or decisions may persist current industries cannot afford that risk. tools to verify functionality, capacity main parameters production advance real production, check logics during planning stage allow reduce bottlenecks can cause losses additional adaptation preproduction Simulation statistic-experimental tool performing experiments model system. As number possible (due combinations factors) it necessary perform each experiment several times (statistical significance), selection algorithm crucial. ∗ Ing. Peter Skorik, PhD., Žilina, SjF, KPI, e-mail: peter.skorik@fstroj.uniza.sk ∗∗ Prof. Milan Gregor, ŽU, milan.gregor@fstroj.uniza.sk ∗∗∗ Andrej Stefanik, CEIT SK, andrej.stefanik@ceit.eu.sk