Lecture 1：Ocean Container Transportation in Global Supply Chains -- Optimization Models and Algorithms
Keynote speaker:Guohua Wang
Lecture time: 14:00 on July 8rd
Venue: 308, scientific research building
Abstract
With the development of global trades and advances of information and transportation technologies, ocean container transportation becomes a critical part of global supply chains. There is a number of critical issues in ocean container transportation to be addressed for global supply chains. Unlike road or air transportation, ocean transportation services have important characteristics such as capital intensive, unbalance between supply bases and demand destinations, and difficulty in adjusting supplies when demands vary. In this talk, we discuss several optimization models and algorithms for improving operations in ocean container transportation, including container terminal operations, global container transport network design, container repositioning, and steaming of ocean container transportation.
Lecture 2：OVessel Routing and Scheduling Problems in Large Container Transshipment Ports
Keynote speaker:Jangang Jin
Lecture time: 14:00 on July 9rd
Venue: 308, scientific research building
Abstract
Abstract: In large container transshipment ports, terminals and depots are often located separately in a regional coastal area, requiring efficient inter-terminal container pick-up and delivery operations. Small vessels are usually employed for inter-terminal cargo movement tasks. Various port operational requirements, such as restricted opening time for shuttle vessels, cargo ready time and due time, should be satisfied. Therefore, a need exists for systematic approaches to developing efficient shuttle vessel operation routes and schedules to fulfill the cargo movement requests. In this paper, we study the shuttle vessel operation planning problem and develop two integer multi-commodity network flow models with side constraints. The first model is built upon a traditional time-space network with vessel flows and cargo flows modelled separately. Observing that cargo requests seldom pass through more than one intermediate stop, we represent the vessel activity explicitly in the network and propose an improved time-space-activity network flow model. Enhancement techniques are further employed to control the network size and strengthen the quality of the linear programming relaxation. Computational experiments are conducted and the results show that proposed network flow models is capable of finding effective operation plans in an efficient manner.
Dr. Jiangang Jin is an Associate Professor of the School of Naval Architecture, Ocean & Civil Engineering at Shanghai Jiao Tong University. He received the Bachelor's degree in civil engineering from Tsinghua University in 2009, and the Ph.D. degree in civil and environmental engineering from the National University of Singapore in 2013. His research interests lies in the application of large scale modeling and optimization to transportation and logistics systems, such as container port operations, public transportation system optimization. He has published more than 30 referred papers in international journals and conferences, such as Transportation Science, Transportation Research Part B/C/E. He is serving as Area Editor for the journal of Computers & Industrial Engineering, and also a member in Standing Committee on Ports and Channels of Transportation Research Board.
