AI-driven decision-making for manufacturing and logistics systems 제조·물류 시스템을 위한 AI 기반 의사결정
SIO Lab develops optimization models and learning-based algorithms for manufacturing and logistics systems. We bring together operations research (OR) and machine learning (ML) to build operations planning and scheduling solutions and validate them on real industrial problems — semiconductor fabs, steelmaking plants, shipyards, warehouses, container terminals, and smart factories. Our research is driven by industry problems, spanning algorithm design through field proof-of-concept.
School of Industrial and Systems Engineering · Gyeongsang National University











SIO Lab에서 함께할 학부연구생, 석사·박사과정생을 모집합니다.
We are recruiting undergraduate, M.S., and Ph.D. students.