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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
We draw on a substantial body of theoretical and empirical research on big data-driven decision-making processes, real-time advanced analytics, and cyber-physical production networks in Industry 4.0-based manufacturing systems, and to explore this, we inspected, used, and replicated survey data from BDV, Capgemini, Deloitte, McKinsey, MHI, and Siemens, performing analyses and making estimates regarding how a smart production planning and control system harnesses Internet of Things sensing networks and Internet of Things-based realtime production logistics by use of industrial big data analytics and machine learning algorithms. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: cyber-physical production network; smart manufacturing; big data
Journal
Economics, Management, and Financial Markets – Addleton Academic Publishers
Published: Jan 1, 2021