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Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Sustainable Smart Manufacturing

Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and... Despite the relevance of artificial intelligence data-driven Internet of Things systems, real-time advanced analytics, and cyber-physical production networks in sustainable smart manufacturing, only limited research has been conducted on this topic. Using and replicating data from BCG, Capgemini, CompTIA, Deloitte, Eclipse Foundation, The Economist Intelligence Unit, MHI, PAC, Siemens, SME, Software AG, and we.CONECT, we performed analyses and made estimates regarding big data-driven decision-making processes in cyber-physical system-based smart factories. The results of a study based on data collected from 4,800 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Internet of Things; smart manufacturing; artificial intelligence http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Sustainable Smart Manufacturing

Economics, Management, and Financial Markets , Volume 16 (1): 11 – Jan 1, 2021

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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

Despite the relevance of artificial intelligence data-driven Internet of Things systems, real-time advanced analytics, and cyber-physical production networks in sustainable smart manufacturing, only limited research has been conducted on this topic. Using and replicating data from BCG, Capgemini, CompTIA, Deloitte, Eclipse Foundation, The Economist Intelligence Unit, MHI, PAC, Siemens, SME, Software AG, and we.CONECT, we performed analyses and made estimates regarding big data-driven decision-making processes in cyber-physical system-based smart factories. The results of a study based on data collected from 4,800 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Internet of Things; smart manufacturing; artificial intelligence

Journal

Economics, Management, and Financial MarketsAddleton Academic Publishers

Published: Jan 1, 2021

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