KSIE student competition Bronze award
SimPL lab’s undergraduate students won a KSIE student’s project competition.
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
SimPL lab’s undergraduate students won a KSIE student’s project competition.
SimPL lab’s undergraduate students won a SCM student competition.
Jeongwon Park won the BK travel grant to attend the IISE Annual Conference & EXPO 2022.
Bonggwon Kang and Jeongwon Park won a 2022 BK PNU-Fellowship in support of their research.