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ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on cyber-physical smart manufacturing systems. The data used for this study was obtained and replicated from previous research conducted by Frost & Sullivan. I performed analyses and made estimates regarding factories of the future in the context of smart manufacturing. Data collected from 4,200 respondents are tested against the research model by using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: big data; cyber-physical smart manufacturing; sustainable production

How to cite: Watson, A. (2020). “Industrial Big Data, Cognitive Decision-Making Algorithms, and Sustainable Production Processes in Cyber-Physical Smart Manufacturing Systems,” Journal of Self-Governance and Management Economics 8(2): 14–20. doi:10.22381/JSME8220202

Received 9 March 2020 • Received in revised form 16 June 2020
Accepted 18 June 2020 • Available online 23 June 2020

Alexander Watson
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cyber-Physical Production Networks Research Unit
at AAER, Wellington, New Zealand

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