BIG DATA: CHALLENGES AND OPPORTUNITIES IN LOGISTICS SYSTEMS

被引：0

作者：

Mikavica, Branka ^{[1
]}

Kostic-Ljubisavljevic, Aleksandra ^{[1
]}

Dogatovic, Vesna Radonjic ^{[1
]}

机构：

[1] Univ Belgrade, Fac Transport & Traff Engn, Belgrade, Serbia

来源：

PROCEEDINGS OF THE 2ND LOGISTICS INTERNATIONAL CONFERENCE | 2015年

关键词：

Big Data; logistics systems; challenges; opportunities;

D O I：

暂无

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

Advancements in telecommunications and computer technologies have led to exponential growth and availability of data, both in structured and unstructured forms. The term Big Data mainly refers to enormous datasets containing large amount of unstructured data that require more real-time analysis. Great potential and very useful values are hidden in this huge volume of data. The influence of Big Data is recognized in logistics services, turning large-scale data volumes into a unique asset capable of boosting efficiency in areas of the business. This paper analyses benefits and opportunities of Big Data in logistics systems. Challenges and risks that logistics systems, affected with this phenomenon deal with, are highlighted. The paper also proposes some efficient ways of exploiting the value of Big Data in logistics systems.

引用

页码：185 / 190

页数：6

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