This thesis aligns with the principles of Industry 4.0, aiming to explore the potential of Digital Twin technology in the simulation of industrial processes. It leverages personal expertise in PLC programming to automate operations within a virtual environment. The study begins with a comprehensive analysis of an industrial process, including the identification of sensors and actuators embedded in its machinery. Based on the data collected during the analysis phase, a Digital Twin model is developed to replicate the observed industrial process. The model is designed with a level of detail sufficient to accurately mirror the mechanical behavior and operational dynamics of the real machines, within the constraints of the simulation environment.