Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

Hong Ning Dai*, Hao Wang, Guangquan Xu, Jiafu Wan, Muhammad Imran

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

183 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1279-1303
Number of pages25
JournalEnterprise Information Systems
Volume14
Issue number9-10
Early online date24 Jun 2019
DOIs
Publication statusPublished - 25 Nov 2020

Scopus Subject Areas

  • Computer Science Applications
  • Information Systems and Management

User-Defined Keywords

  • data analytics
  • data mining
  • internet of things
  • Smart manufacturing

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