Authors:
- Presents key elements to the Industry 4.0 concept
- Introduces methods not well known but with high potential
- Compares different methods highlighting their capabilities and limitations
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: Manufacturing and Surface Engineering (BRIEFSMANUFACT)
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Table of contents (4 chapters)
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Front Matter
About this book
This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.
Authors and Affiliations
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Laboratory of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece
Nikolaos E. Karkalos, Angelos P. Markopoulos
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Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
J. Paulo Davim
Bibliographic Information
Book Title: Computational Methods for Application in Industry 4.0
Authors: Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-92393-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2019
Softcover ISBN: 978-3-319-92392-5Published: 30 May 2018
eBook ISBN: 978-3-319-92393-2Published: 21 May 2018
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VIII, 67
Number of Illustrations: 7 b/w illustrations, 3 illustrations in colour
Topics: Manufacturing, Machines, Tools, Processes, Computational Intelligence, Engineering Mathematics