In order to address the problem of container allocation at the container terminal of a U-shaped terminal layout, taking into account the actual conditions of multi-container area storage at the terminal, a model for allocating multiple container areas for outbound containers is established with the objective of minimizing the rehandling time and IGV transport time during container loading and unloading operations. A variable neighborhood search algorithm, considering storage rules, is designed to solve the problem of container allocation in the multi-container area. The effectiveness of the model and algorithm is verified through numerical experiments, and a sensitivity analysis of the balance of operations between container areas is conducted. The experimental results demonstrate that considering the balance of operations between container areas can effectively reduce the rehandling time during container loading and unloading operations, then improving the efficiency of the container terminal.
The efficient transfer of containers in the sea-rail intermodal mode hinges on the loading and unloading processes within the port's railway operation area and the horizontal transportation of containers. Considering the development trend toward green ports and the imperative to enhance port operational efficiency, this paper delves into the joint scheduling problem of trucks and rail-mounted gantry cranes (RMGCs). Our objective is to minimize the total energy consumption. We establish a comprehensive scheduling model considering practical constraints like the safe operating distance of RMGCs and loading capacity of trucks under the multi-load mode. We design an adaptive large neighborhood search artificial bee colony hybrid algorithm. Experimental results verify the model and algorithm's feasibility, demonstrating that in scenarios involving multi-load applications for container trucks, more efficient and energy-conserving utilization of various equipment can be achieved through collaborative coordination.
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