Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/addleton-academic-publishers/internet-of-things-sensing-networks-smart-manufacturing-big-data-and-djbPL1EkCb
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- 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 Markets – Addleton Academic Publishers
Published: Jan 1, 2021