The agro-export sector for fruits, especially blueberries, is crucial to the global and Latin American economies, particularly in Peru. The COVID-19 pandemic exposed vulnerabilities in supply chains and international demand, highlighting the need for improved efficiency and resilience through methodologies such as Lean Manufacturing and Total Productive Maintenance (TPM). The main challenges include prolonged machine setup times, operational errors, and equipment failures, negatively impacting overall equipment efficiency (OEE). These issues result in delays and high costs, affecting product quality. Optimizing these processes is urgent to ensure the sector's sustainability and competitiveness. The proposed model integrates Lean Manufacturing and TPM tools, implementing strategies like SMED, autonomous and preventive maintenance, and work standardization. These actions aimed to reduce setup times, improve machine availability, and standardize procedures. Training personnel and constantly reviewing indicators were essential for the model's success. The results showed a 45% reduction in setup time, a 43% increase in overall equipment efficiency, and a 36% improvement in machine availability. These findings demonstrated the model's effectiveness in enhancing productivity and operational efficiency in the blueberry production line. This research significantly impacts academia and the agro-export industry by providing a replicable model that improves competitiveness and ensures long-term quality and sustainability. Researchers and professionals are encouraged to explore new optimization strategies, focusing on continuous improvement to address future challenges and foster sector growth.