Abstract:

For the optimization of the hub-and-spoke container shipping network, in order to quantitatively express the impact of customer attraction on the container freight volume, the customer attractiveness factor based on service constraints（service quality\price\time） is introduced, and the shipping companies in the shipping network are the most profitable. As a goal, an axis-spoke marine network optimization model is established. The model has been solved by genetic algorithm. The validity of the model and algorithm is proved by a case study. The effects of different economies of scale discount rate and shipper’s decision preference weight on the profit of shipping companies are analyzed.

Key words: hub-and-spoke maritime network, attraction model, genetic algorithm

摘要：

针对轴辐式集装箱海运网络优化问题，引入了基于服务约束（服务质量\价格\时间）的客户吸引力因素，定量表示出客户吸引力对集装箱货运量的影响。以海运网络中航运企业的利润最大化为目标，建立了轴辐式海运网络优化模型。使用遗传算法求解，通过算例分析证明该模型及算法的有效性，并分析了不同的规模经济折扣率、托运人的决策偏好权重对航运企业利润的影响。

关键词: 轴辐式海运网络, 吸引力模型, 遗传算法