Logistics, traffic, and transport are among the most important services for any industry or society. Without them, the economy would simply break down or fall back to pre-industrial levels. However, they also turn oil (which is getting less) into pollution. Using optimization algorithms for logistic planning means to find ways to transport goods or people in an efficient way. Depending on the problem, efficient could mean to travel short distances, use few vehicles and less manpower, or to be otherwise cheap. This often equates to being environmentally friendlier. Research on this domain therefore is highly relevant and we want to contribute to it. But logistics is not limited to vehicles driving outside. It may also concern tasks as diverse as the routing of vehicles inside of automated warehouses or factory floors, the routing of work pieces on assembly lines, and even finding the optimal sequence to drill a given set of holes into and place a certain set of components onto a circuit board.

This research direction can be considered as a complement of our work on operations research, together with which we aim to provide a set of tools of optimal control and management of highly-automated manufacturing and delivery processes for an intelligent, automated, and green industry as promoted by concepts such as Industry 4.0 and Made in China 2025 [中国制造2025].

Our researchers have made significant contributions to several theoretical and practical logistics problems, including

1. Projects

2. Publications

3. Funding

4. Organized Events

5. Lectures and Courses

6. News

  1. LogiMAT China
  2. fresh logistics Asia 2017
  3. Intertraffic China 2017
  4. Intelligent Production and Logistics: The Viewpoint of Optimization