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This paper describes a distributed agent system for dynamic port planning and scheduling. The proposed system comprises four agents, namely a port planning manager (PPM), a berth control agent (BCA), a shuttle allocation agent (SAA) and a yard storage agent (YSA). These agents communicate and cooperate with one another to work out the schedule for berth allocation and requirements for shuttles. Basically,...
The studies on the optimization of berth system have great significance for developing the theory and making decisions on port planning and operations. In this paper, the object using queuing theory to solve the optimization number of port berths is to make the utilization of total resources most and the total cost of shipping least.
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