The internet of things for smart manufacturing: A review

By Hui Yang, Soundar Kumara *, Satish T. S. Bukkapatnam, Fugee Tsung. IISE Transactions, 2019

385 citations recorded by the source corpus.

Abstract The modern manufacturing industry is investing in new technologies such as the Internet of Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system complexity, increase information visibility, improve production performance, and gain competitive advantages in the global market. These advances are rapidly enabling a new generation of smart manufacturing, i.e., a cyber-physical system tightly integrating manufacturing enterprises in the physical world with virtual enterprises in cyberspace. To a great extent, realizing the full potential of cyber-physical systems depends on the development of new methodologies on the Internet of Manufacturing Things (IoMT) for data-enabled engineering innovations. This article presents a review of the IoT technologies and systems that are the drivers and foundations of data-driven innovations in smart manufacturing. We discuss the evolution of internet from computer networks to human networks to the latest era of smart and connected networks of manufacturing things (e.g., materials, sensors, equipment, people, products, and supply chain). In addition, we present a new framework that leverages IoMT and cloud computing to develop a virtual machine network. We further extend our review to IoMT cybersecurity issues that are of paramount importance to businesses and operations, as well as IoT and smart manufacturing policies that are laid out by governments around the world for the future of smart factory. Finally, we present the challenges and opportunities arising from IoMT. We hope this work will help catalyze more in-depth investigations and multi-disciplinary research efforts to advance IoMT technologies.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/193b9d2b74eb6fe71d05955a21952030294c638f

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Citations in the corpus

Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management (2020, neutral): “0 context have been shown for shop floor control (Zhong et al. 2017; Yang et al. 2019), scheduling (Ivanov et al.”
Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives (2020, background): “With the development of new technologies such as the Internet of Things (IoT), big data analytics, cloud computing and artificial intelligence (AI), smart manufacturing has been proposed in modern industry [138].”