Title of paper: Simulation optimization in manufacturing systems

Abstract

The paper deals with the use of heuristic methods suitable for simulation optimization. These methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy - Automatically adapt discrete event simulation models input parameters and four analytic functions. Simulation models reflect real systems of industrial companies. Developed models are focused on logistics and production scheduling problems. Discrete event simulation models were built by Arena simulation software. Developed simulation optimization application is able to search for global optimum of the objective function by seven modified optimization methods.