Our simulation models investigate the production logistics.
Our machine learning applications optimize them.
The objective of the Simulation & Production Logistics (SimPL) Laboratory is to develop large-scale simulation models, operational algorithms, machine learning models that will improve the operations and productivity of logistics and related production systems. Active research areas include simulation optimization, material handling and self-organizing operations, and OR applications in warehousing, semiconductor, display, and automobile industries.
Business areas: Material handling and production logistics in distribution centers, container terminals, semiconductor and display fabs, and construction equipment assembly line
OR approaches: Large-scale simulations, machine learning models, and optimization models
Operational strategy: Simulation optimization, self-organizing/-balancing operations
Ph.D. candidate Bosung Kim from Professor Soondo Hong’s research team won the Silver Award at the 2024 Samsung Display Paper Competition for their work on op...
We are delighted to celebrate the achievements of our recent graduates!
Bonggwon Kang has commenced a new research project funded by the Korea Research Foundation under the Ministry of Education as the Principal Investigator.
2024 Samsung Display & SimPL Lab 5th Joint Workshop was held at PNU on August 28 - 29, 2024.
