Iterative Container Reselection Methods for Remarshaling in a Container Terminal

Intelligent Container Stacking System; Seaport Container Terminal

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Optimizing Container Terminal Operations

The optimal number of yard cranes in container terminal

The aim of this study is to propose a new mixed integer linear programming (MILP) model to find the minimum required number of yard cranes, Rubber tyred gantry cranes (RTGCs), for completion the total amount of works at the end of planning horizon. In other word, we find the optimal number of yard cranes in a container terminal which completes the total amount of works. The paper supports the p...

Berth management in container terminal

One of the foremost planning problems in container transshipment operation concerns the allocation of home berth (preferred berthing location) to a set of vessels scheduled to call at the terminal on a weekly basis. The home berth location is subsequently used as a key input to yard storage, personnel, and equipment deployment planning. For instance, the yard planners use the home berth templat...

Agent-based container terminal optimisation

Container terminals play a critical role in international shipping and are under pressure to cope with increasing container traffic. The problem of managing container terminals effectively has a number of characteristics which make agents a suitable technology to consider applying. Container terminals involve the operation of distributed entities (e.g. quay cranes, straddle carriers) which coor...