Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies

TL;DR

This paper reviews the role of big data analytics in manufacturing IoT, discussing challenges, enabling technologies, and future research directions to harness massive, heterogeneous, real-time manufacturing data.

Contribution

It provides a comprehensive overview of big data analytics in manufacturing IoT, highlighting current challenges and surveying enabling technologies and future trends.

Findings

Identifies key challenges in manufacturing data analytics.

Surveys enabling technologies for big data in MIoT.

Outlines future research directions in the field.

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.