Abstract

The recent advances in information and communication technology (ICT) have promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data. This paper provides an overview on big data analytics in manufacturing Internet of Things (MIoT). This paper first starts with a discussion on necessities and challenges of big data analytics in manufacturing data of MIoT. Then, the enabling technologies of big data analytics of manufacturing data are surveyed and discussed. Moreover, this paper also outlines the future directions in this promising area.

arXiv version can be found here.

Keywords

• Smart Manufacturing
• Data Analytics
• Data Mining
• Internet of Things

Bibtex

@article{hndai:EIS19,
  title={Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
},
  author={Hong-Ning Dai and Hao Wang and Guangquan Xu and Jiafu Wan and Muhammad Imran},
  journal={Enterprise Information Systems},
  year={2019},
  volume={},
  number={},
  pages={},
  DOI={10.1080/17517575.2019.1633689},
  publisher={Taylor \& Francis},
}