Advances in internet of things (Io T) in manufacturing

Rakshith Badarinath, Vittaldas V. Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations


As a promising technology with increased adoption in recent years, Internet of Things (IoT) realizes ubiquitous interconnection of physical devices through internet, opening doors for building powerful industrial applications by leveraging the advances in sensor technology and wireless networks. IoT technologies can be viewed as enablers for smart manufacturing and Industry 4.0. This review paper focuses on applications of IoT in manufacturing, which is also known as Industrial Internet of Things IIoT. To that end, technologies relevant to the application of IoT in manufacturing, such as wireless sensor networks (WSNs), smart sensors, big data analytics, and cloud computing are discussed. A service oriented architecture (SOA) based four-layer model for realizing IoT applications in manufacturing is proposed. Finally, a review of the state of art of IoT applications in manufacturing including shop floor automation, predictive maintenance, energy aware manufacturing, and smart workers is presented with relevant industry use cases.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationThe Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Proceedings
EditorsRalph Riedel, Klaus-Dieter Thoben, Gregor von Cieminski, Dimitris Kiritsis, Hermann Lodding
PublisherSpringer New York LLC
Number of pages8
ISBN (Print)9783319669229
StatePublished - 2017
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017 - Hamburg, Germany
Duration: Sep 3 2017Sep 7 2017

Publication series

NameIFIP Advances in Information and Communication Technology
ISSN (Print)1868-4238


OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management


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