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ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on big data-driven smart manufacturing. Using and replicating data from Capgemini, CompTIA, IW Custom Research, Kronos, Microsoft, and PwC, we performed analyses and made estimates regarding top challenges in formulating and implementing smart factory strategies. Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: automated production system; big data; smart manufacturing

How to cite: Jones, A., Mușat, M., Corpodean, H., and Petris, G. (2020). “Sustainable Industrial Value Creation, Automated Production Systems, and Real-Time Sensor Networks in Big Data-driven Smart Manufacturing,” Journal of Self-Governance and Management Economics 8(2): 35–41. doi:10.22381/JSME8220205

Received 4 March 2020 • Received in revised form 16 June 2020
Accepted 18 June 2020 • Available online 23 June 2020

Alice Jones
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The Institute of Smart Big Data Analytics,
New York City, NY, USA
(corresponding author)
Mihaela Mușat
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The Bucharest University of Economic Studies, Romania
Horea Corpodean
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The Bucharest University of Economic Studies, Romania
Geambazi Petris
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The Bucharest University of Economic Studies, Romania

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