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Artificial Intelligence-driven Big Data Analytics, Predictive Maintenance Systems, and Internet of Thingsbased Real-Time Production Logistics in Sustainable Industry 4.0 Wireless Networks

Artificial Intelligence-driven Big Data Analytics, Predictive Maintenance Systems, and Internet... Empirical evidence on artificial intelligence-driven big data analytics, predictive maintenance systems, and Internet of Things-based real-time production logistics in sustainable Industry 4.0 wireless networks has been scarcely documented in the literature. Using and replicating data from BDO, Capgemini, The Economist Intelligence Unit, EEF, McKinsey, PAC, PwC, and Vodafone, we performed analyses and made estimates regarding how sustainable manufacturing Internet of Things is instrumental in industrial plants as smart devices can be harnessed to monitor data flows, while disruptive technologies are networked across cyberphysical system-based smart factories by use of artificial intelligence-based decisionmaking algorithms and deep learning-assisted smart process planning. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Internet of Things; artificial intelligence; Industry 4.0; wireless network http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Artificial Intelligence-driven Big Data Analytics, Predictive Maintenance Systems, and Internet of Thingsbased Real-Time Production Logistics in Sustainable Industry 4.0 Wireless Networks

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
2329-4175
eISSN
2377-0996
Publisher site
See Article on Publisher Site

Abstract

Empirical evidence on artificial intelligence-driven big data analytics, predictive maintenance systems, and Internet of Things-based real-time production logistics in sustainable Industry 4.0 wireless networks has been scarcely documented in the literature. Using and replicating data from BDO, Capgemini, The Economist Intelligence Unit, EEF, McKinsey, PAC, PwC, and Vodafone, we performed analyses and made estimates regarding how sustainable manufacturing Internet of Things is instrumental in industrial plants as smart devices can be harnessed to monitor data flows, while disruptive technologies are networked across cyberphysical system-based smart factories by use of artificial intelligence-based decisionmaking algorithms and deep learning-assisted smart process planning. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Internet of Things; artificial intelligence; Industry 4.0; wireless network

Journal

Journal of Self-Governance and Management Economics – Addleton Academic Publishers

Published: Jan 1, 2021

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