3 papers from SimPL lab were accepted at APMS conference
3 papers from SimPL lab were accepted at APMS conference
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
A dynamic storage location assignment model for a progressive bypass zone picking system with an S/R crane
This paper optimizes the storage locations with consideration of workload imbalance and reduction of recirculation in a progressive bypass zone picking system.
KSIE student competition Bronze award
SimPL lab’s undergraduate students won a KSIE student’s project competition.
SCM student competition Participation Awards
SimPL lab’s undergraduate students won a SCM student competition.