Meeting the individual needs of customers will increase the competitiveness of container terminals. This paper optimizes the configuration and scheduling of double 40 ft dual-trolley quay cranes (QCs) and automated guided vehicles (AGVs) to improve the service of a container terminal. A two-stage biobjective mixed integer programming model with the objectives of maximizing customer satisfaction, minimizing the ineffective time of AGVs, and minimizing the delay time of QCs is proposed. For the proposed model, the piecewise function in the first stage is linearized by adding constraints of special ordered sets, and the GUROBI software is used to solve it. Then, an improved nondominated sorting genetic algorithm-Ⅲ is applied that aims to efficiently solve the second-stage model. Numerical experiments are presented to verify the effectiveness of models and algorithms. The results demonstrate the rationality and validity of the method, which selects the configuration and scheduling scheme based on customer satisfaction.

满足客户的个性化需求将提高集装箱码头的竞争力。本文优化了双40英尺双厢式码头起重机（QC）和自动导引车（AGV）的配置和调度，以改善集装箱码头的服务。提出了一种两阶段双目标混合整数规划模型，其目标是最大化客户满意度，最小化AGV的无效时间以及最小化QC的延迟时间。对于所提出的模型，通过添加特殊有序集的约束来线性化第一阶段的分段函数，并使用GUROBI软件对其进行求解。然后，采用一种改进的非支配排序遗传算法-Ⅲ，以有效地求解第二阶段模型。通过数值实验验证了模型和算法的有效性。结果证明了该方法的合理性和有效性，该方法基于客户满意度选择配置和调度方案。