Welcome to the Simulation & Facility Logistics laboratory!

Our simulation models investigate the facility logistics.
Our machine learning applications optimize them.

Mission statement

The objective of the Simulation & Facility Logistics (SimFL) 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 facility 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