ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore cloud-based cyber-physical manufacturing systems. Using and replicating data from CompTIA, Deloitte, and McAfee, I performed analyses and made estimates regarding cloud-based applications in use (%), new/improved skills needed for cloud solutions (%), sources for procurement/management of cloud-based applications (%), and changes to IT function during cloud adoption (%). Data were analyzed using structural equation modeling.
JEL Codes: E24; J21; J54; J64

Keywords: cloud manufacturing; cyber-physical system; decision-making algorithm

How to cite: Rommer, Derek (2020). “Artificial Intelligence-based Decision-Making Algorithms, Industrial Big Data, and Smart Connected Sensors in Cloud-based Cyber-Physical Manufacturing Systems,” Economics, Management, and Financial Markets 15(1): 40–46. doi:10.22381/EMFM15120203

Received 13 January 2020 • Received in revised form 17 March 2020
Accepted 20 March 2020 • Available online 28 March 2020

Derek Rommer
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Big Data-driven Algorithmic Decision-Making
at AAER, London, England

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