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Internet of Things Sensing Networks, Deep Learningenabled Smart Process Planning, and Big Data-driven Innovation in Cyber-Physical System-based Manufacturing

Internet of Things Sensing Networks, Deep Learningenabled Smart Process Planning, and Big... Based on an in-depth survey of the literature, the purpose of the paper is to explore cyber-physical system-based manufacturing. Using and replicating data from Capgemini, CompTIA, EY, Microsoft, PAC, and PwC, we performed analyses and made estimates regarding the relationship between Internet of Things sensing networks, deep learning-enabled smart process planning, and big data-driven innovation. Data were analyzed using structural equation modeling. JEL Codes: E24; J21; J54; J64 Keywords: Internet of Things; big data; cyber-physical system-based manufacturing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Internet of Things Sensing Networks, Deep Learningenabled Smart Process Planning, and Big Data-driven Innovation in Cyber-Physical System-based Manufacturing

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1842-3191
eISSN
1938-212X
Publisher site
See Article on Publisher Site

Abstract

Based on an in-depth survey of the literature, the purpose of the paper is to explore cyber-physical system-based manufacturing. Using and replicating data from Capgemini, CompTIA, EY, Microsoft, PAC, and PwC, we performed analyses and made estimates regarding the relationship between Internet of Things sensing networks, deep learning-enabled smart process planning, and big data-driven innovation. Data were analyzed using structural equation modeling. JEL Codes: E24; J21; J54; J64 Keywords: Internet of Things; big data; cyber-physical system-based manufacturing

Journal

Economics, Management, and Financial MarketsAddleton Academic Publishers

Published: Jan 1, 2020

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