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Cyber-Physical System-based Real-Time Monitoring, Industrial Big Data Analytics, and Smart Factory Performance in Sustainable Manufacturing Internet of Things

Cyber-Physical System-based Real-Time Monitoring, Industrial Big Data Analytics, and Smart... We develop a conceptual framework based on a systematic and comprehensive literature review on cyber-physical system-based real-time monitoring, industrial big data analytics, and smart factory performance in sustainable manufacturing Internet of Things. Building our argument by drawing on data collected from CGI, CompTIA, Deloitte, Globant, IW Custom Research, Kronos, McKinsey, MHI, PAC, and PwC, we performed analyses and made estimates regarding sustainable industrial value creation in Internet of Things-based real-time production logistics. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: cyber-physical system; sustainable manufacturing; Internet of Things http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Cyber-Physical System-based Real-Time Monitoring, Industrial Big Data Analytics, and Smart Factory Performance in Sustainable Manufacturing Internet of Things

Economics, Management, and Financial Markets , Volume 16 (1): 10 – 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

We develop a conceptual framework based on a systematic and comprehensive literature review on cyber-physical system-based real-time monitoring, industrial big data analytics, and smart factory performance in sustainable manufacturing Internet of Things. Building our argument by drawing on data collected from CGI, CompTIA, Deloitte, Globant, IW Custom Research, Kronos, McKinsey, MHI, PAC, and PwC, we performed analyses and made estimates regarding sustainable industrial value creation in Internet of Things-based real-time production logistics. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: cyber-physical system; sustainable manufacturing; Internet of Things

Journal

Economics, Management, and Financial MarketsAddleton Academic Publishers

Published: Jan 1, 2021

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