航运联盟新阶段集装箱运输网络优化

为更好地配置航运资源，以互联网环境为背景，针对传统航运受班期、航次和船舶数量约束的缺陷，采用数据挖掘与分析的方法，将枢纽港与支线港口作为首要影响因子，构造了航运联盟新阶段的集装箱运输网络优化模型.在此基础上进一步综合分析了数据整合的重要性.模型分为两部分，以成本最小为目标，首先确定枢纽港，再根据各港口需求分配船舶.联盟使得船舶的运力更大，满载率更高.既可以有效配置资源，又可以显著降低成本，充分体现了规模经济的作用.

Optimization of container transportation network for new shipping alliance

In order to better configure shipping resources， the container transportation network optimization model for new shipping alliance is constructed using the methods of data mining and analysis with hub ports and feeder ports as primary influence factor， based on the Internet environment and the disadvantage that traditional shipping is constrained by the schedule， voyage and vessel quantity. The model with the minimum cost as the goal is divided into two parts. The first one determines the amount and location of the hub ports， and the other distributes the vessels according to the requirements of the ports. New shipping alliance makes capacity of vessels bigger and fuller. This method is able to not only allocate resources efficiently， but also reduce the cost significantly， which adequately reflects the role of scale economy.