Professor Haejoong Kim from Kyonggi University’s Department of Industrial and Management Engineering has recently published an SCIE-indexed research paper featuring the use of Siemens Plant Simulation in an automotive logistics digital twin project.

The study, titled  “A Digital Twin Architecture for Automotive Logistics: An Industry Case Study” demonstrates how real logistics data can be combined with simulation modeling to improve transport efficiency and reduce congestion in automotive manufacturing.

Using Plant Simulation as a core tool, the research team built a detailed digital twin model that reflects real operational conditions. This work highlights how simulation-based decision-making can support smarter, data-driven logistics planning.

Professor Kim has been actively applying Plant Simulation in both teaching and research, and this publication showcases the practical value of his simulation-driven approach in real industry settings.

More digital-twin and smart-manufacturing projects from his lab are expected in the future!

Hwang, G., Han, J., Kim, H. "A Digital Twin Architecture for Automotive Logistics: An Industry Case Study." KSII Transactions on Internet and Information Systems, 18(8), 2024.