基于聚类分析的航运企业集装箱分析与应用

Analysis and Application of Container of Shipping Enterprises Based on Cluster Analysis

随着我国经济的不断发展,航运企业集装箱业务进出口量猛增。在集装箱装载和卸载的作业中,积累了大量的数据。在这些数据中,运用数据挖掘技术能够发现其中包含的"知识",并用于企业的经营的科学决策,以帮助企业开拓市场,提高经济效益。文中运用聚类分析技术,通过对集装箱多维度度量,发现企业的大多数的集装箱是航线短,货物杂,作业时间长的小型集装箱,制约了企业的快速发展和经济效益的提高。所以企业应该积极开拓国际市场,扩大大型集装箱业务,提高生产效率和经济效益。

Along with developing of economy of China,the scale of import-export of containers in shipping enterprise is continually enlarging. A great deal of data was produced in the process of container Loading and unloading. We can find the knowledge in the data by Data Mining technic. The knowledge can be used to scientific decision making of shipping enterprise.Helping enterprise to develop the market and increasing economic benefits. In this paper,Multi dimension measurement of containers was used for shipping enterprises. The knowledge founded in the shipping enterprises is that most of containers is smaller containers. These containers ’ shipping line is Near-Sea Shipping Line. And Loading and unloading cargoes were Miscellaneous goods. Working hours were longer in this case. Developing of enterprise and increasing of benefit were restricted. So the shipping enterprise should positively explore the international market,expend the scale of the large container,increasing production efficiency and economic benefit.