Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing
Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing
Author(s): Karen Wade, Marek VochozkaSubject(s): Business Economy / Management
Published by: Addleton Academic Publishers
Keywords: cyber-physical; smart manufacturing; sustainability; Industry 4.0;big data algorithmic analytics;
Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore artificial intelligence data-driven Internet of Things systems, sustainable Industry 4.0 wireless networks, and digitized mass production in cyber-physical smart manufacturing. Using and replicating data from BDO, Capgemini, the Economist Intelligence Unit, Forrester, Management Events, and McKinsey, we performed analyses and made estimates regarding autonomous networked manufacturing machines in industrial enterprises. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Journal: Journal of Self-Governance and Management Economics
- Issue Year: 9/2021
- Issue No: 3
- Page Range: 48-60
- Page Count: 13
- Language: English
- Content File-PDF