Unveiling a new achievement: Winning an Outstanding Research Award from KSIE
SimPL Lab’s Master’s student GwangHeon Lee won an Outstanding Research Award from KSIE.
Welcome to the Simulation & Production Logistics laboratory!
Our simulation models investigate the production logistics.
Our machine learning applications optimize them.
Mission statement
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
Recent posts
Participation in the IISE Annual Conference & EXPO 2023
Gwanguk Han attended the IISE Annual Conference & EXPO 2023 in New Orleans and presented his research entitled “Simulation analysis of the shortage delay...
Bringing Ideas and Innovations Through 2023 Winter Conference of Society for Computational Design and Engineering
Four SimPL members and five undergraduate students participated in a domestic conference, 2023 CDE, which was held on 8th - 11st February 2023 in Pyeongchang.
Participation in the 2022 Winter Simulation Conference
Bonggwon Kang, Permata Vallentino Eko Joatiko, Jungtae Park, and Soondo Hong presented a surrogate model-based decision making in a container terminal, titlt...