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This paper proposes a method to optimize the configuration and scheduling of dual trolley quay crane and AGV so as to reduce the cost in automated container terminal. A two-phase model is constructed to minimize cost during handling operation considering the relevant constraints such as laytime allowable in the contract, AGV’s endurance time and buffer platform for quay crane and blocks, which will be solved by the proposed genetic algorithm. Yangshan Phase IV automated container terminal’s data was used to demonstrate the validity and applicability of the proposed model. By the results of the experiments, it is found that the proposed method can reduce cost while ensuring that the completion time is not delayed.

Joint configuration and scheduling optimization of the dual trolley quay crane and AGV for automated container terminal