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Sustainable Industry 4.0 Wireless Networks, Smart Factory Performance, and Cognitive Automation in Cyber-Physical System-based Manufacturing

Sustainable Industry 4.0 Wireless Networks, Smart Factory Performance, and Cognitive Automation... Employing recent research results covering sustainable Industry 4.0 wireless networks, smart factory performance, and cognitive automation in cyberphysical system-based manufacturing, and building our argument by drawing on data collected from Deloitte, Management Events, McKinsey, and World Economic Forum, we performed analyses and made estimates regarding how Industry 4.0 is pivotal in automated production systems by integrating real-time advanced analytics, artificial intelligence-based decision-making algorithms, and robotic wireless sensor networks to assess smart factory performance. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Industry 4.0; smart factory; cyber-physical system-based manufacturing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Sustainable Industry 4.0 Wireless Networks, Smart Factory Performance, and Cognitive Automation in Cyber-Physical System-based Manufacturing

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
2329-4175
eISSN
2377-0996
Publisher site
See Article on Publisher Site

Abstract

Employing recent research results covering sustainable Industry 4.0 wireless networks, smart factory performance, and cognitive automation in cyberphysical system-based manufacturing, and building our argument by drawing on data collected from Deloitte, Management Events, McKinsey, and World Economic Forum, we performed analyses and made estimates regarding how Industry 4.0 is pivotal in automated production systems by integrating real-time advanced analytics, artificial intelligence-based decision-making algorithms, and robotic wireless sensor networks to assess smart factory performance. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Industry 4.0; smart factory; cyber-physical system-based manufacturing

Journal

Journal of Self-Governance and Management EconomicsAddleton Academic Publishers

Published: Jan 1, 2021

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