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Internet of Things Sensing Networks, Smart Manufacturing Big Data, and Digitized Mass Production in Sustainable Industry 4.0

Internet of Things Sensing Networks, Smart Manufacturing Big Data, and Digitized Mass Production... This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, smart manufacturing big data, and digitized mass production in sustainable Industry 4.0. Building our argument by drawing on data collected from Forrester, LNS Research, Management Events, McKinsey, Plex Systems, and PwC, we performed analyses and made estimates regarding how integrating Internet of Things-based decision support systems along production processes facilitates automatic data gathering and inspection, through sustainable industrial big data and artificial intelligence-based decision-making algorithms, manufacturing operations are optimized, while by use of autonomous vehicle driving algorithms and perception sensor data, industrial big data analytics, and Internet of Things-based decision support systems, industrial plants network in real time. Data collected from 6,700 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: Internet of Things; smart manufacturing; big data; sustainability; Industry 4.0 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Internet of Things Sensing Networks, Smart Manufacturing Big Data, and Digitized Mass Production in Sustainable Industry 4.0

Economics, Management, and Financial Markets , Volume 16 (4): 14 – 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

This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, smart manufacturing big data, and digitized mass production in sustainable Industry 4.0. Building our argument by drawing on data collected from Forrester, LNS Research, Management Events, McKinsey, Plex Systems, and PwC, we performed analyses and made estimates regarding how integrating Internet of Things-based decision support systems along production processes facilitates automatic data gathering and inspection, through sustainable industrial big data and artificial intelligence-based decision-making algorithms, manufacturing operations are optimized, while by use of autonomous vehicle driving algorithms and perception sensor data, industrial big data analytics, and Internet of Things-based decision support systems, industrial plants network in real time. Data collected from 6,700 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: Internet of Things; smart manufacturing; big data; sustainability; Industry 4.0

Journal

Economics, Management, and Financial MarketsAddleton Academic Publishers

Published: Jan 1, 2021

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