Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

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

Karen Coatney
Economics, Management, and Financial Markets , Volume 14 (4): 7 – Jan 1, 2019
Download PDF
7 pages

Loading next page...
 
/lp/addleton-academic-publishers/cyber-physical-smart-manufacturing-systems-sustainable-industrial-ny29ysVaOF
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 Markets – Addleton Academic Publishers

Published: Jan 1, 2019

There are no references for this article.