Internet of Things-enabled Sustainability, Industrial Big Data Analytics, and Deep Learning-assisted Smart Process Planning in Cyber-Physical Manufacturing Systems
Internet of Things-enabled Sustainability, Industrial Big Data Analytics, and Deep Learning-assisted Smart Process Planning in Cyber-Physical Manufacturing Systems
Author(s): Odile Throne, George LăzăroiuSubject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: Internet of Things; sustainability; cyber-physical system; big data;
Summary/Abstract: We develop a conceptual framework based on a systematic and comprehensive literature review on cyber-physical manufacturing systems. Building our argument by drawing on data collected from Capgemini, Microsoft, Omdia, PwC, Software AG, World Economic Forum, we performed analyses and made estimates regarding the link between Internet of Things-enabled sustainability, industrial big data analytics, and deep learning-enabled smart process planning. The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,900 respondents.
Journal: Economics, Management, and Financial Markets
- Issue Year: 15/2020
- Issue No: 4
- Page Range: 49-58
- Page Count: 10
- Language: English
- Content File-PDF
