In Peru, the manufacturing industry contributes 12.4% of GDP, with the food and beverage industry standing out, which accounted for 26.7% of this sector in 2022. Within this context, a company dedicated to the production of artisanal ice cream faces an efficiency of 77.3%, lower than the average sector of 90.9%. This study aims to close this efficiency gap in its production line, focusing on reducing unproductive times. To solve this problem, Lean tools will be implemented: SMED to optimize line changes, Total Productive Maintenance, which includes the pillars of Autonomous and Preventive Maintenance, and Work Standardization to ensure consistency in operations. In addition, IoT technologies will be integrated through the installation of sensors in the machines, allowing real-time monitoring of their performance and facilitating data-driven decision making. The validation of the proposed model was carried out through a simulation of the production process, incorporating the proposed improvements. The results show an increase in efficiency by 7.49%, reaching 84.79%, and a reduction of 26% in unproductive times. In conclusion, the implementation of the model not only improved the efficiency and competitiveness of the company, but also ensures customer satisfaction by offering higher quality products. This approach can be applied to other SMEs seeking to optimize their processes by combining Lean and IoT tools, adapting to different production contexts.