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

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Enterprise Information Systems · 2019 · 239 citations · 56 references

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TL;DR

Advances in ICT are transforming traditional manufacturing into smart, data‑driven systems, yet the heterogeneous, voluminous, and real‑time nature of MIoT data poses significant analytical challenges. This paper surveys big‑data analytics for manufacturing IoT, outlining its opportunities, challenges, and future directions. The authors review the essential requirements and obstacles of MIoT data analytics, survey enabling technologies, and propose future research avenues.

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.

References

56