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Robotic Wireless Sensor Networks, Industrial Artificial Intelligence, and Deep Learning-assisted Smart Process Planning in Sustainable Cyber-Physical Manufacturing Systems

Robotic Wireless Sensor Networks, Industrial Artificial Intelligence, and Deep Learning-assisted... We develop a conceptual framework based on a systematic and comprehensive literature review on robotic wireless sensor networks, industrial artificial intelligence, and deep learning-assisted smart process planning in sustainable cyberphysical manufacturing systems. Building our argument by drawing on data collected from McKinsey, Ovum, PwC, and World Economic Forum, we performed analyses and made estimates regarding industrial big data analytics. 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: industrial artificial intelligence; cyber-physical manufacturing system http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Robotic Wireless Sensor Networks, Industrial Artificial Intelligence, and Deep Learning-assisted Smart Process Planning in Sustainable Cyber-Physical Manufacturing Systems

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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

We develop a conceptual framework based on a systematic and comprehensive literature review on robotic wireless sensor networks, industrial artificial intelligence, and deep learning-assisted smart process planning in sustainable cyberphysical manufacturing systems. Building our argument by drawing on data collected from McKinsey, Ovum, PwC, and World Economic Forum, we performed analyses and made estimates regarding industrial big data analytics. 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: industrial artificial intelligence; cyber-physical manufacturing system

Journal

Journal of Self-Governance and Management EconomicsAddleton Academic Publishers

Published: Jan 1, 2021

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