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
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

Summary/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 cyber-physical system-based smart factories by use of artificial intelligence-based decision-making algorithms and deep learning-assisted smart process planning. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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