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Sustainable Industrial Value Creation, Automated Production Systems, and Real-Time Sensor Networks in Big Data-driven Smart Manufacturing

Sustainable Industrial Value Creation, Automated Production Systems, and Real-Time Sensor... The aim of this paper is to synthesize and analyze existing evidence on big data-driven smart manufacturing. Using and replicating data from Capgemini, CompTIA, IW Custom Research, Kronos, Microsoft, and PwC, we performed analyses and made estimates regarding top challenges in formulating and implementing smart factory strategies. Data were analyzed using structural equation modeling. JEL codes: E24; J21; J54; J64 Keywords: automated production system; big data; smart manufacturing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Sustainable Industrial Value Creation, Automated Production Systems, and Real-Time Sensor Networks in Big Data-driven Smart 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

The aim of this paper is to synthesize and analyze existing evidence on big data-driven smart manufacturing. Using and replicating data from Capgemini, CompTIA, IW Custom Research, Kronos, Microsoft, and PwC, we performed analyses and made estimates regarding top challenges in formulating and implementing smart factory strategies. Data were analyzed using structural equation modeling. JEL codes: E24; J21; J54; J64 Keywords: automated production system; big data; smart manufacturing

Journal

Journal of Self-Governance and Management EconomicsAddleton Academic Publishers

Published: Jan 1, 2020

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