Chen Jiang Hang

National University of Singapore

April 24, 2012, 10:00, Room GR B3 30 (click here for the map)

Models and New Methods for Quayside Operations in Port Container Terminals

The swift pace of globalization has significantly increased the demand for containerized maritime transport services. Under the atmosphere, the competition among port container terminals has become acute and such drives the managers in port container terminals to maintain seamless flows of containers through terminals while to keep the operational costs as low as possible. To this end, operational research methods have received considerable importance for the operations management in port container terminals. This seminar will cover Mr. Chen's studies on quayside operation problem in port container terminal including both mathematical modeling and algorithm development. Firstly, for mathematical modeling, there are two highlights in Mr. Chen's studies: 1) the technology updates and innovative implementations have been reflected; 2) the integration issues to synchronize the decision-making processes for each key component of the quayside operation problem have been stressed. Secondly, for problem solving, a spectrum of methods has been devised to handle the proposed models. In this seminar, Mr. Chen will also introduce the problem-oriented meta-heuristics, approximation algorithms, and exact algorithms (like Benders' Cut Method) developed for the quayside operation problem.

Bio

Mr. Chen Jiang Hang obtained B.Eng from the Department of Civil Engineering, Tsinghua University, PR China in 2007 and received his PhD from the Department of Civil and Environmental Engineering, National University of Singapore in 2012. Currently, he is a research engineer at The Logistics Institute - Asia Pacific, National University of Singapore. His PhD research topic focuses on port container terminal operation management especially for the quayside operation problem which includes the berth allocation problem, the quay crane assignment problem, and the quay crane scheduling problem.