Abstract
The industrial internet of things (IIoT) is a buzzword for an industrial framework that paves the way for intelligent manufacturing. These intelligent technologies are gradually replacing traditional manufacturing processes. Industrial IoT employs a network of sensors to collect data, which is then analysed using CC to improve the efficiency of manufacturing operations. Many sensors are integrated into the machine to enable self-sense, self-action, and communication. The sensors collect a large amount of data. Real-time production data is obtained with the help of these technologies in order to make accurate decisions and predict future outputs. There are numerous advantages to implementing IIoT in the manufacturing industry. This review rigorously presents a clear understanding of IIoT implementation cases in various industries. A specific set of process parameters is proposed to help researchers understand the significance of smart manufacturing and work on new challenges.
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Gupta, P., Krishna, C., Rajesh, R., Ananthakrishnan, A., Vishnuvardhan, A., Patel, S. S., … Chandramohan, V. (2022). Industrial internet of things in intelligent manufacturing: a review, approaches, opportunities, open challenges, and future directions. International Journal on Interactive Design and Manufacturing. Springer-Verlag Italia s.r.l. https://doi.org/10.1007/s12008-022-01075-w
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