The Fourth Industrial Revolution, or Industry 4.0, presents significant opportunities to transform the manufacturing sector through the development of smart factories that improve production efficiency, reduce costs, and improve quality. This evolution is particularly crucial for mass consumption companies, which require optimized operations to maintain competitiveness in a fast-paced global market. This paper explores the implementation of a digital twin model in a carbonated water bottling system to optimize production processes. By collecting physical measurements from the plant, a digital twin was created using 3D software, integrating mechanical and electrical components. The interconnection between SolidWorks and LabView facilitated the determination of optimal activation and deactivation times for the system’s actuators. Two programming structures, the “Sequence Structure” and the “Case Structure,” were tested to validate the bottling process model, manipulating the actuator speed and program execution within a while loop. The results indicated that the case structure produced a quicker machine response, leading to a 16% increase in revenue, demonstrating the effectiveness of the digital twin approach.