Implementación de Gemelos Digitales para la gestión eficiente de contenedores

Abstract

Abstract: Port logistics faces critical inefficiencies due to manual processes, information fragmentation, and limitations in the traceability of exact locations within the container yard. The objective of this study was to design a solution based on digital twins to optimize operational efficiency through automation and real-time traceability. The methodology was developed in four phases, starting with the analysis of loT technologies, the design of a cloud-based architecture using Microsoft Azure, and the modeling of the digital twin using Esri's ArcGIS, enabling immersive visualization of the yard, and finally, the integration of Dijkstra's and Yen's algorithms for dynamic route optimization. The experimental results demonstrated substantial improvements in internal operations: the Time to Bay was reduced by 42.4%, while the Exit Journey improved by 46.2%. Globally, the Total Time in Yard decreased by 44.5%, reducing the operational cycle from 387.01 minutes to 214.93 minutes. It is concluded that digital twins transform port logistics into an intelligent, efficient, and robust model.