The Peruvian textile sector, particularly among small and medium-sized enterprises (SMEs), faces significant challenges, including overproduction and inefficient inventory management. These issues are compounded by inadequate demand forecasting and delayed deliveries, which hinder the competitiveness of these enterprises in a globalized market. To address these urgent challenges, this research proposes a Lean-based operations management model tailored specifically for textile SMEs. The model integrates Just-In-Time (JIT), Kanban, leveled production, and RFID technology to optimize inventory control and align production with market demand. Key findings from the implementation reveal a substantial reduction in overproduction by 89.66% and a decrease in wrong deliveries by 75%, indicating the model's effectiveness in enhancing operational efficiency. The study's impact extends beyond operational improvements, contributing to the broader literature on Lean Manufacturing in SMEs and offering practical solutions for the sustainable development of the textile industry in Peru. This research underscores the need for continuous innovation in operational strategies and encourages further exploration of Lean tools to address the evolving challenges in textile manufacturing.