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ABSTRACT. The purpose of this study was to empirically examine real-world implementation of cyber-physical production systems in smart manufacturing. Building my argument by drawing on data collected from Ad Hoc Research, BDO, CIO, DAA, EY, IoT Analytics GmbH, McKinsey, and PwC, I performed analyses and made estimates regarding how companies want to deploy disruptive technologies (%), the biggest challenges in implementing Industry 4.0 solutions (%), and disruptive technologies that will enable digitization of the manufacturing sector (%). The structural equation modeling technique was used to test the research model.
JEL codes: E24; J21; J54; J64

Keywords: cyber-physical production system; smart manufacturing; data analytics

How to cite: Drennan-Stevenson, Kathryn (2019). “Real-World Implementation of Cyber-Physical Production Systems in Smart Manufacturing: Cognitive Automation, Industrial Processes Assisted by Data Analytics, and Sustainable Value Creation Networks,” Journal of Self-Governance and Management Economics 7(3): 14–20. doi:10.22381/JSME7320192

Received 12 April 2019 • Received in revised form 17 August 2019
Accepted 19 August 2019 • Available online 5 September 2019

Kathryn Drennan-Stevenson
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The Cognitive Labor Institute,
New York City, NY, USA

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