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Cyber-Physical Smart Manufacturing Systems: Sustainable Industrial Networks, Cognitive Automation, and Big Data-driven Innovation

Cyber-Physical Smart Manufacturing Systems: Sustainable Industrial Networks, Cognitive... 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 BCG, Capgemini, DAA, IoT Analytics GmbH, Management Events, and PwC. I performed analyses and made estimates regarding the biggest challenges for organizations to progress toward Industry 4.0 (%), top challenges in formulating smart factory strategy (%), and proportion of categories based on digital maturity across industries (%). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling. JEL codes: E24; J21; J54; J64 Keywords: cyber-physical system; smart manufacturing; big data; sustainability http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Cyber-Physical Smart Manufacturing Systems: Sustainable Industrial Networks, Cognitive Automation, and Big Data-driven Innovation

Economics, Management, and Financial Markets , Volume 14 (4): 7 – Jan 1, 2019

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1842-3191
eISSN
1938-212X
Publisher site
See Article on Publisher Site

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 BCG, Capgemini, DAA, IoT Analytics GmbH, Management Events, and PwC. I performed analyses and made estimates regarding the biggest challenges for organizations to progress toward Industry 4.0 (%), top challenges in formulating smart factory strategy (%), and proportion of categories based on digital maturity across industries (%). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling. JEL codes: E24; J21; J54; J64 Keywords: cyber-physical system; smart manufacturing; big data; sustainability

Journal

Economics, Management, and Financial MarketsAddleton Academic Publishers

Published: Jan 1, 2019

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