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ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore cyber-physical smart manufacturing systems. Using and replicating data from BCG, Capgemini, Deloitte, IW Custom Research, Kronos, McKinsey, MHI, PwC, and SME, we performed analyses and made estimates regarding the link between industrial artificial intelligence, sustainable product lifecycle management, and Internet of Things sensing networks. Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: cyber-physical system; smart manufacturing; Internet of Things

How to cite: Gray-Hawkins, M., and Lăzăroiu, G. (2020). “Industrial Artificial Intelligence, Sustainable Product Lifecycle Management, and Internet of Things Sensing Networks in Cyber-Physical Smart Manufacturing Systems,” Journal of Self-Governance and Management Economics 8(4): 19–28. doi:10.22381/JSME8420202

Received 2 September 2020 • Received in revised form 11 December 2020
Accepted 15 December 2020 • Available online 18 December 2020

Malcolm Gray-Hawkins
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Internet-enabled Collective Intelligence Laboratory
at ISBDA, Glasgow, Scotland
(corresponding author)
George Lăzăroiu
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Institute of Smart Big Data Analytics,
New York City, NY, USA;
Spiru Haret University, Bucharest, Romania

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