Smart Warehouse Management Using Digital Twins and Machine Learning

Gutiérrez J.A.T.; de Pina J.M.M. · South African Journal of Industrial Engineering (2026) · DOI: 10.7166/37-1-3254

Resumen

In warehouse operations, digital twin technology integrates physical systems with software components, thereby improving overall productivity. In this study, we developed a digital twin system using the R programming language to analyse product demand patterns and support the slotting storage configuration of outbound processes in a warehouse. By integrating radio-frequency identification (RFID) tag data with Flexsim simulations, the system enhances productivity tracking by 42% – measured by the number of pallets processed per hour – and reduces the time required for dispatching products in the distribution centre by 41%.

Instituciones: Universidad de Lima