物流信息分析研究现状与趋势展望

The Research Status and Trends of Logistics Information Analysis

对物流信息动态资源的分析具有重要价值,已成为国内外学者的热点研究领域。调研结果表明,有关研究主要从两个视角——基于供应链管理的视角和基于数据挖掘的视角,同时,现有研究还存在着一些不足。据此,分析了物流信息分析研究的主要影响因素及挑战,例如,物流信息分析环境的大数据化、平台的云计算化、客体的动态性、主体的多元性、手段的智能化等。进而,提出了科学地将宏观的动态云计算管理与微观的动态信息分析方法有机结合,聚集于基于云计算和动态数据挖掘的物流信息智能分析,并给出了研究和实施框架。

Abstract Being the hot research area, the logistics dynamic information analysis is very valuable. Our survey shows that there are two perspectives concerning the related researches： one is supply chain management, the other is data mining. However, there are still several deficiencies with the existing studies. For future researches, the following influencing factors and challenges should be considered seriously ： big data as the main situation of logistics information analysis, and cloud computing as the main platform for this analysis, the dynamic nature of logistics data, diversity of the principle parts of logistics information analysis, and the increasingly intelligent analyzing tools. Accordingly, researchers should combine the macro dynamic cloud computing with the micro dynamic information analysis and focus on the intelligent analysis of logistics information based on cloud computing and dynamic data mining, the research and implementing frame arc put forward at last.