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ABSTRACT. Employing recent research results covering sustainable Industry 4.0 wireless networks, smart factory performance, and cognitive automation in cyber-physical system-based manufacturing, and building our argument by drawing on data collected from Deloitte, Management Events, McKinsey, and World Economic Forum, we performed analyses and made estimates regarding how Industry 4.0 is pivotal in automated production systems by integrating real-time advanced analytics, artificial intelligence-based decision-making algorithms, and robotic wireless sensor networks to assess smart factory performance. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: Industry 4.0; smart factory; cyber-physical system-based manufacturing

How to cite: Zvarikova, K., Rowland, M., and Krulicky, T. (2021). “Sustainable Industry 4.0 Wireless Networks, Smart Factory Performance, and Cognitive Automation in Cyber-Physical System-based Manufacturing,” Journal of Self-Governance and Management Economics 9(4): 9–21. doi: 10.22381/jsme9420211.

Received 16 April 2021 • Received in revised form 13 December 2021
Accepted 14 December 2021 • Available online 21 December 2021

Katarina Zvarikova
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Mary Rowland
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The Cognitive Labor Institute,
New York City, NY, USA
(corresponding author)
Tomas Krulicky
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The School of Expertness and Valuation,
The Institute of Technology and Business
in Ceské Budejovice, Czech Republic

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