Modeling and simulation of dynamic systems are critical tools for successful industrial process control, particularly in the context of Industry 4.0. These technologies enable the building of virtual models of industrial equipment and processes that closely resemble the behavior of actual systems. This work focuses on the use of AnyLogic in the design and optimization of robot lines. It demonstrates how simulation may assist test various situations, forecast bottlenecks, enhance resource use, and reduce downtime. The findings show that effective modeling may boost production efficiency by up to 20% while decreasing the probability of failure. The conclusion emphasizes that incorporating simulation into production processes increases organizations’ flexibility and competitiveness, allowing them to respond to changing market needs more effectively. This article examines the primary benefits associated with dynamical system simulation. The first part delves into the relevance of simulation in the context of Industry 4.0, where digital twins are pivotal for testing and refining processes without the necessity of physical interaction. Subsequently, the AnyLogic software for simulating robotic lines is introduced, which facilitates the construction and analysis of elements such as robot speed and operational duration. The findings from the simulation reveal that proper modeling and optimization can boost productivity by up to 20% and cut downtime by 30%. This piece highlights the importance of modeling and simulation for modern industrial companies that seek to effectively meet shifting market demands.