A digital twin calibration for an automated material handling system in a semiconductor fab
New paper has been published in Journal of Manufacturing Systems
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
6th DTPL Workshop Held (April 28 – May 3, 2025)
The 6th DTPL (Digital Twin-based Production Line) Workshop was successfully held from April 28 to May 3, 2025.
Optimizing Blocking and Starving Delays in Sequential Zone Order Picking Systems through Time-Decomposed Workload Balancing
New paper has been published in Computers & Operations Research
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Best Dissertation and Thesis Awards Recipients at Pusan National University Graduation Ceremony
SimPl lab’s graduates, Bonggwon Kang and Jungtae Park, received Best Dissertation and Thesis Awards.