This team applies theories and methods such as operations research, modern optimization theory, systems engineering, big data, and artificial intelligence to study relevant scientific issues concerning logistics systems and supply chain management. It explores innovative theories, methods, and key technologies related to logistics system planning and optimization, providing a systematic set of theories, methods, and key technologies for the planning and intelligent decision-making optimization of modern logistics systems in China.

Main research directions of the team:

(1) Intelligent logistics planning and intelligent equipment;

(2) Multimodal transport system planning and intelligent optimization;

(3) Data-intelligence driven resource allocation and scheduling optimization for hub yards;

(4) Emergency logistics system planning and intelligent optimization;

(5) Railway logistics system planning and intelligent optimization;

(6) Intelligent supply chain planning and system optimization, etc.