Junjie Yue

Papers

Total Citations

H-Index

About

Dr. Junjie Yue is a leading researcher in intelligent logistics and digital twin technology, with a focus on transforming supply chain management through data-driven automation. His most notable contribution is the development of DigiPyramid, a groundbreaking multiresolution Digital Twin framework designed to enhance reliability in logistics operations. This framework integrates Robotic Process Automation for cost-effective data aggregation across disparate enterprise systems—including ERP, WMS, and TMS—while employing Bayesian Networks for predictive modeling and decision support. Although his seminal 2025 paper has garnered early citations, Dr. Yue’s work represents a significant conceptual leap in bridging heterogeneous operational technologies with intelligent analytics. His research addresses critical challenges in real-time logistics visibility, system interoperability, and adaptive control, offering practical pathways toward fully autonomous supply chains. By combining theoretical rigor with implementation-ready solutions, Dr. Yue’s contributions are poised to influence both academic inquiry and industrial practice in the digital transformation of logistics.