Abstract
We are currently at the dawn of the fourth industrial revolution, the notions industry, smart factories, the Internet of Things (IoT), cyber-physical systems, and digital transformation often refer to the upheaval that quickly transforms the landscape of the industrial sector. Industry 4.0 includes the digitization of horizontal value chains and vertical, innovation of products and services, and the creation of new business models. Among the main operational drivers of the transformation are the improvement of the customer, speeding up marketing, and reducing costs. In this paper, the predictive maintenance represents an essential building block of the smart factory, where high availability of production facilities and minimization of downtime is an important goal. The goal of this paper is to design and analyze an efficient framework for the industrial IoT, providing a state-of-the-art approach for industrial applications. We also focus on predictive maintenance of production systems, including manufacturing machines to increase the process quality.
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Chehri, A., Jeon, G. (2019). The Industrial Internet of Things: Examining How the IIoT Will Improve the Predictive Maintenance. In: Chen, YW., Zimmermann, A., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-13-8566-7_47
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DOI: https://doi.org/10.1007/978-981-13-8566-7_47
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