Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Sustainable Smart Manufacturing
Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Sustainable Smart Manufacturing
Author(s): Dana Perkins, Neil Perkins, Katarína ValáškováSubject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: Internet of Things; smart manufacturing;artificial intelligence – AI;
Summary/Abstract: Despite the relevance of artificial intelligence data-driven Internet of Things systems, real-time advanced analytics, and cyber-physical production networks in sustainable smart manufacturing, only limited research has been conducted on this topic. Using and replicating data from BCG, Capgemini, CompTIA, Deloitte, Eclipse Foundation, The Economist Intelligence Unit, MHI, PAC, Siemens, SME, Software AG, and we.CONECT, we performed analyses and made estimates regarding big data-driven decision-making processes in cyber-physical system-based smart factories. The results of a study based on data collected from 4,800 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Journal: Economics, Management, and Financial Markets
- Issue Year: 16/2021
- Issue No: 1
- Page Range: 20-30
- Page Count: 11
- Language: English
- Content File-PDF