Yongkuk Jeong

Yongkuk Jeong (Jake, 정용국) is an Assistant Professor in Production Logistics at the Department of Production Engineering, KTH Royal Institute of Technology. He received his PhD from Seoul National University (2018).

His research sits at the intersection of production logistics, digital twins, simulation, and AI. He is especially interested in turning complex industrial systems into something we can model, test, and improve before changes are implemented in real operations.

A recurring theme in his work is human-centered digitalization. This includes exploring how data-driven methods and decision-support tools can be designed to support engineers and operators in manufacturing, assembly, warehousing, and material handling environments.

Research interests

• Smart production logistics and digital transformation
• Digital twins, simulation, and decision support
• AI and machine learning for human-centered production systems
• Sustainable and circular manufacturing systems

Currently working on

• Integrating digital twins and large language models for practical industrial decision support
• AI-enabled vision systems for human-centered logistics and order picking
• Simulation-based tools for sustainable and circular manufacturing operations

Collaboration

Jake is open to collaboration with academic and industrial partners. If you are working on digital twins, simulation, AI in production logistics, or human-centered automation, feel free to reach out.

Academic appointments

• Assistant Professor, KTH Royal Institute of Technology (Sweden), Department of Production Engineering (2021–present)
• Postdoctoral Researcher, KTH Royal Institute of Technology (Sweden), Department of Sustainable Production Development (2019–2021)
• Postdoctoral Researcher, Seoul National University (South Korea), Research Institute of Marine Systems Engineering (2018–2019)
• Lecturer, Inha Technical College (South Korea), Department of Naval Architecture and Marine Engineering (2018)

Education

• PhD, Naval Architecture and Ocean Engineering, Seoul National University (2011–2018)
  Thesis: A shipyard logistics simulation system considering shipbuilding process, spatial arrangement, and logistics flow
• BSc, Naval Architecture and Ocean Engineering, Seoul National University (2007–2011)
  Graduated as valedictorian

Selected publications

1. Flores-García, E., Kwak, D. H., Jeong, Y., & Wiktorsson, M. (2025). Machine learning in smart production logistics: A review of technological capabilities. International Journal of Production Research, 63(5), 1898–1932.
2. Zafarzadeh, M., Flores-García, E., Jeong, Y., & Wiktorsson, M. (2025). A framework and system architecture for value-oriented digital services in data-driven production logistics. International Journal of Production Research, 1–21.
3. Flores-García, E., Ruiz Zúñiga, E., Jeong, Y., & Wiktorsson, M. (2025). AI-enabled vision systems for human-centered order picking: A design science research approach. International Journal of Production Research, 1–28.
4. Pérez, M., Lieder, M., Jeong, Y., & Asif, F. M. A. (2025). A simulation-based decision support tool for circular manufacturing systems in the automotive industry using electric machines as a remanufacturing case study. International Journal of Production Research, 1–20.
5. Baalsrud Hauge, J., & Jeong, Y. (2024). From novice to expert: advancing step-by-step simulation guideline for urban logistics with an open-source simulation tool. The International Journal of Logistics Management, 35(5), 1417–1433.
6. Flores-García, E., Jeong, Y., Liu, S., Wiktorsson, M., & Wang, L. (2023). Enabling Industrial Internet of Things-based digital servitization in smart production logistics. International Journal of Production Research, 61(12), 3884–3909.
7. Jeong, Y., Ju, S. H., Shen, H., Lee, D. K., Shin, J. G., & Ryu, C. (2018). An analysis of shipyard spatial arrangement planning problem and a spatial arrangement algorithm considering free space and unplaced block. International Journal of Advanced Manufacturing Technology, 95.

More publications are available via Google Scholar and my personal website.