Editors:
- Presents contributions on the study, implementation, and standardization of Industry 4.0
- Demonstrates how IoT, Big Data and Cyber-Physical Systems can accelerate the implementation of Industry 4.0
- Written by respected experts in the field
Part of the book series: Studies in Big Data (SBD, volume 64)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
About this book
The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions.
Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.
Reviews
“I would recommend this book primarily for those who are working in disaster management and who are geospatial information specialists in disaster management. … The book can also be important for those working on filling the skill gap caused by Industry 4.0, for they can get a broader overview of relevant applications.” (Abdelkarim Alhloul, Hungarian Geographical Bulletin, Vol. 69 (2), 2020)
Editors and Affiliations
-
Department of Computer Science and Engineering, SOA University, Bhubaneswar, India
Srikanta Patnaik
Bibliographic Information
Book Title: New Paradigm of Industry 4.0
Book Subtitle: Internet of Things, Big Data & Cyber Physical Systems
Editors: Srikanta Patnaik
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-25778-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-25777-4Published: 03 September 2019
Softcover ISBN: 978-3-030-25780-4Published: 03 September 2020
eBook ISBN: 978-3-030-25778-1Published: 21 August 2019
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XI, 180
Topics: Computational Intelligence, Artificial Intelligence, Big Data