ABSTRACT. The purpose of this study was to empirically examine Internet of Things-based real-time production logistics, cyber-physical process monitoring systems, and industrial artificial intelligence in sustainable smart manufacturing. Building our argument by drawing on data collected from The Economist Intelligence Unit, EEF, IoT World Today, LNS Research, Management Events, McKinsey, Plex Systems, and Techconsult, we performed analyses and made estimates regarding smart Internet of Things systems. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: sustainable smart manufacturing; Internet of Things; cyber-physical system

How to cite: Popescu, G. H., Petreanu, S., Alexandru, B., and Corpodean, H. (2021). “Internet of Things-based Real-Time Production Logistics, Cyber-Physical Process Monitoring Systems, and Industrial Artificial Intelligence in Sustainable Smart Manufacturing,” Journal of Self-Governance and Management Economics 9(2): 52–62. doi: 10.22381/jsme9220215.

Received 16 January 2021 • Received in revised form 12 June 2021
Accepted 18 June 2021 • Available online 25 June 2021