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...
Melissa Connolly-Barker
2020-01-01 00:00:00
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.pngEconomics, Management, and Financial MarketsAddleton Academic Publishershttp://www.deepdyve.com/lp/addleton-academic-publishers/internet-of-things-sensing-networks-deep-learningenabled-smart-process-2p0fHvQHCg
Internet of Things Sensing Networks, Deep Learningenabled Smart Process Planning, and Big Data-driven Innovation in Cyber-Physical System-based Manufacturing
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 Markets
– Addleton Academic Publishers
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