ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on sustainable industrial big data, automated production processes, and smart networked factories in cyber-physical system-based manufacturing. The data used for this study was obtained and replicated from previous research conducted by Deloitte, Eclipse Foundation, McKinsey, LNS Research, MHI, Plex Systems, and PwC. We performed analyses and made estimates regarding the robust designs and performance of wireless sensor network-based smart systems. Data collected from 6,500 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: cyber-physical system; manufacturing; sustainability; industrial big data

How to cite: Gibson, P., and Macek, J. (2021). “Sustainable Industrial Big Data, Automated Production Processes, and Cyber-Physical System-based Manufacturing in Smart Networked Factories,” Journal of Self-Governance and Management Economics 9(3): 22–34. doi: 10.22381/jsme9320212.

Received 19 March 2021 • Received in revised form 3 September 2021
Accepted 10 September 2021 • Available online 18 September 2021

Peter Gibson
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Smart Sustainable Data-driven
Manufacturing Laboratory
at AAER, Hamilton, New Zealand
(corresponding author)
Jaroslav Macek
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic

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