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
Four SimPL members and five undergraduate students participated in a domestic conference, 2023 CDE, which was held on 8th - 11st February 2023 in Pyeongchang.
Bonggwon Kang, Permata Vallentino Eko Joatiko, Jungtae Park, and Soondo Hong presented a surrogate model-based decision making in a container terminal, titlt...
JeongTae Park participated in a domestic conference, 2022 한국로지스틱스학회 공동학술대회, which was held on November 1, 2022 in Seoul, South Korea.
Three members of SimPL Lab, Bonggwon Kang, Jeongwon Park, and Tran Vo Thao Huong, participated in APMS Conference 2022 which was taken place on September 25 ...
