Simulation video for container stacking of a real port
This is comparison between our algorithm and the current job of a real. (more…)
This is comparison between our algorithm and the current job of a real. (more…)
Our Newton Institutional Links project “UKVietnam Institutional Link in Digital Innovation for Sustainable Maritime Logistics in Vietnam has been shortlisted for the prestigious Newton Prize, out of over 150 applications. Below is the quote from the news (more…)
Simulation of operations in Vietnamese VIP Greenport
Port authorities need to make a variety of inter-related decisions during daily operations at a container terminal. The goal of this study is to develop a decision support tool that supports the terminal operators of Vietnamese VIP Greenport in decision making processes to minimize the ship turnaround time, the congestions on the roads inside the terminal, the average dwelling time of containers at the storage blocks and maximize the average crane productivity. The study will be carried out in three phases: (a) modelling the current state of the port, (b) Simulating port operation using 3D visualization technology and (c) optimizing the operational process. Most of the existing research focus on a particular operation. The goal of current study is to use an integrated approach for optimizing the operational process at container terminal. This is an ongoing work. In this talk, I will discuss the progress made to date.”
Dr. Iffat Gheyas
Optimising the container stacking process in an Asian port
Stack loading problems arise in many logistics applications such as container terminals, container ships, steel yards or warehouses. We are especially motivated by improving efficiency of container terminals. In this presentation, we aim at loading a sequence of items into a set of stacks subject to constraints. Items are accessed in last-in first-out order using a crane, so any target item at the bottom requires reshuffling of upper items. Then finding a loading strategy reducing the number of crane moves is an important challenge in order to decrease operational costs and delays. We introduce mathematical models and heuristics to solve this problem, and experimental results on random and real-case scenarios.
Dr. Charly Lersteau