We consider the barge rotation planning and quay scheduling problem in the Port of Rotterdam. This problem concerns the alignment of barge rotations and terminal quay schedules. We use a Multi-Agent based approach for the problem, since such a Multi-Agent based system can mirror to a large extent the way the business network is currently organized. Moreover, it can provide a solution that is ac...

This study discusses the development of tactical-level integrated planning at seaport container terminals in an uncertain environment.

We describe a heuristic algorithm for scheduling the movement of multiple factory cranes mounted on a common track. The cranes must complete a sequence of tasks at locations along the track without crossing paths, while adhering as closely as possible to a factory production schedule. The algorithm creates a decision tree of possible states of the crane system, which evolves over time as tasks ...

Abstract Aiming at the crane scheduling problem for uncertainty tasks in multi-crane situation, this article proposes a deep reinforcement learning-based modeling method that is not dependent on mathematical planning and has certain generality. First, process integrated into learning framework which orbit space of transportation task environmental information intelligent agent. Second, interact...