Kharazmi University International Journal of Supply and Operations Management 2383-1359 13 1 2026 02 01 Optimizing Mill Bolt Production Efficiency in a Metal Mechanical Firm via Digital Twin Technology and Lean Methodologies 39 60 2975 10.22034/ijsom.2026.110872.3452 EN Sigmund Junco Industrial Engineering Program, Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas UPC, Lima, Perú 0009-0006-1609-6731 Gabriela Lozano Industrial Engineering Program, Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas UPC, Lima, Perú 0009-0009-4252-2134 Rosa Salas-Castro Industrial Engineering Program, Faculty of Engineering, Universidad Peruana de Ciencias Aplicadas UPC, Lima, Perú 0000-0002-8297-1104 Ron Mesia Marketing & Logistics, Florida International University, Miami, FL, USA 0000-0003-3571-5105 Journal Article 2025 08 22 <strong>Objective</strong>: This study evaluates the impact of integrating Digital Twin technology with Lean methodologies on the operational efficiency of a firm in the Peruvian metal‑mechanic sector, focusing on a mill‑bolt production line. The company currently experiences substantial operational challenges, including high variability in production times, an inadequate facility layout, and limited technological integration. These deficiencies contribute to a low overall efficiency level of 44.04%. The purpose of this research is to demonstrate how the combined application of Digital Twin–based modeling and Lean process improvement strategies can enhance system performance, reduce operational inefficiencies, and strengthen organizational productivity.<br /><strong>Methods</strong>: This study employs an applied research approach using a quasi‑experimental design. Data was collected through informal conversations with production operators and the review of historical production records. The methodological process was structured in two phases. In the first phase, model validation was conducted through pilot experimentation focused on Lean methodologies. In the second phase, the proposed enhancements were evaluated and validated through computational simulations, enabling a controlled assessment of their impact on system performance. <br /><strong>Results</strong>: The findings indicate an increase in operational efficiency from 44.04% to 61.66%, demonstrating the effectiveness of integrating Digital Twin technology with Lean methodologies. These results support the significance of the combined model in enhancing system performance and reducing operational inefficiencies<br /><strong>Conclusion</strong>: The results of this study underscore the substantial impact that a comprehensive, integrated intervention can have on the operational efficiency of metal‑mechanic production environments. The research highlights the critical value of uniting traditional process‑improvement approaches with emerging digital tools. This integration not only enhances decision‑making and process control but also strengthens the organization’s capacity for continuous improvement and long‑term competitiveness. http://www.ijsom.com/article_2975_2ef3e50fd7c1091dda165f25be7f64fd.pdf