Research on application of data warehouse to port cross-border transportation

Abstract

As the gateway for a nation to perform international business, the good development of the cross-border transportation has a great impact on the sustainable economic improvement of a port city and its hinterlands. In that process, the informationization plays a significant role. This paper chose the 20 national ports in the Yunnan Province in China and its adjacent ports in the GMS (Greater Mekong Subregion) as the investigation object, and made an analysis of multi-dimensional data requirement according to the related management departments. Based on that, the paper designed a systematic structure of decision support system for port cross-border transportation under multimodal circumstances using the data warehouse technology. Then, the author realized that the OLAP and multi-dimensional analysis report formed by establishing the DW made decisions on location for international logistics hub by using the model libraries, and supplied the related departments with decision support by the data mining technology. The system revealed the feasibility and effectiveness of the application of the technology in practice. © 2012 Springer Science+Business Media B.V.