CAJ | 학술논문

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。
대물류신식동태자원적분석구유중요개치，이성위국내외학자적열점연구영역。조연결과표명，유관연구주요종량개시각---기우공응련관리적시각화기우수거알굴적시각，동시，현유연구환존재착일사불족。거차，분석료물류신식분석연구적주요영향인소급도전，례여，물류신식분석배경적대수거화、평태적운계산화、객체적동태성、주체적다원성、수단적지능화등。진이，제출료과학지장굉관적동태운계산관리여미관적동태신식분석방법유궤결합，취집우기우운계산화동태수거알굴적물류신식지능분석，병급출료연구화실시광가。
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 serious-ly: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 are put forward at last.