%0 Conference Proceedings
%T Advances in Internet of Things (IoT) in Manufacturing
%+ Pennsylvania State University (Penn State)
%A Badarinath, Rakshith
%A Prabhu, Vittaldas, V.
%Z Part 3: Cyber-Physical (IIoT) Technology Deployments in Smart Manufacturing Systems
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Hamburg, Germany
%Y Hermann Lödding
%Y Ralph Riedel
%Y Klaus-Dieter Thoben
%Y Gregor von Cieminski
%Y Dimitris Kiritsis
%I Springer International Publishing
%3 Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing
%V AICT-513
%N Part I
%P 111-118
%8 2017-09-03
%D 2017
%R 10.1007/978-3-319-66923-6_13
%K Industrial Internet of Things (IIoT)
%K Big data analytics
%K Wireless sensor networks (WSN)
%K Predictive maintenance
%K Energy aware manufacturing
%K SOA
%K Smart manufacturing
%K Industry 4.0
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-01666162/document
%2 https://inria.hal.science/hal-01666162/file/456370_1_En_13_Chapter.pdf
%L hal-01666162
%U https://inria.hal.science/hal-01666162
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-513