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ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on Internet of Things smart devices, industrial artificial intelligence, and real-time sensor networks in sustainable cyber-physical production systems. Using and replicating data from Capgemini, Deloitte, Ericsson, Management Events, MHI, PAC, and PwC, we performed analyses and made estimates regarding cyber-physical production networks in Industry 4.0-based manufacturing systems. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: Internet of Things; industrial artificial intelligence; cyber-physical system

How to cite: Lăzăroiu, G., Kliestik, T., and Novak, A. (2021). “Internet of Things Smart Devices, Industrial Artificial Intelligence, and Real-Time Sensor Networks in Sustainable Cyber-Physical Production Systems,” Journal of Self-Governance and Management Economics 9(1): 20–30. doi: 10.22381/jsme9120212.

Received 17 January 2021 • Received in revised form 15 March 2021
Accepted 16 March 2021 • Available online 20 March 2021

George Lăzăroiu
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The Institute of Smart Big Data Analytics,
New York City, NY, USA;
Spiru Haret University, Bucharest, Romania
(corresponding author)
Tomas Kliestik
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Andrej Novak
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Faculty of Operation and Economics
of Transport and Communications,
Department of Air Transport,
University of Zilina, Zilina, Slovak Republic

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