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Congratulations to Our Graduates
We celebrate the achievements of our recent graduates.
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
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Samsung Display & SimPL Lab 6th Joint Workshop (2025.02.19-20)
2025 Samsung Display & SimPL Lab 6th Joint Workshop was held at PNU on February 19 - 20, 2025.
The 5th Joint Workshop on the Recent Digital Twin and Production Logistics Research at the University of Washington (2025.01.31-02.06)
We hold in the joint meeting on the recent digital twin research and simulation education at the University of Washington from January 1st to February 6th.
A Simulation-based Performance Analysis of a Zone Picking System with Two Conveyor Lanes
New paper has been published in Korean Society of Industrial Management Systems