Data Analytics Challenges in Industry 4.0: A Case-Based Approach

被引：0

作者：

Brichni, Manel ^{[1
]}

Guedria, Wided ^{[1
]}

机构：

[1] Luxembourg Inst Sci & Technol LIST, Dept IT Innovat Serv ITIS, 5 Ave Hauts Fourneaux, Eschsur Alzette 4362, Luxembourg

来源：

ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS (OTM 2018), PT II | 2018年 / 11230卷

关键词：

Data analytics; Manufacturing; Case study research methodology; INTELLIGENCE; CONTEXT;

D O I：

10.1007/978-3-030-02671-4_12

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Creating business value with data analytics is a continuous process that requires to effectively consider the design and deployment of powerful analytics solutions. This requires a significant effort in understanding, customizing, assembling and adapting these solutions to the specific environment. However, this might be different from one context to another. The objective of this paper is to discuss the use of data analytics in Industry 4.0 by harvesting some challenges and lessons-learnt. A case-based approach is followed, as a research methodology to explore and understand complex and common issues related to data analytics. Scalability, interoperability and standardization are among the topics that are reviewed.

引用

页码：209 / 221

页数：13

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