Computational Methods for Application in Industry 4.0
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 asp
- PDF / 1,690,774 Bytes
- 74 Pages / 439.377 x 666.143 pts Page_size
- 4 Downloads / 242 Views
Nikolaos E. Karkalos Angelos P. Markopoulos J. Paulo Davim
Computational Methods for Application in Industry 4.0
SpringerBriefs in Applied Sciences and Technology Manufacturing and Surface Engineering
Series editor Joao Paulo Davim, Aveiro, Portugal
More information about this series at http://www.springer.com/series/10623
Nikolaos E. Karkalos Angelos P. Markopoulos J. Paulo Davim •
Computational Methods for Application in Industry 4.0
123
Nikolaos E. Karkalos Laboratory of Manufacturing Technology, School of Mechanical Engineering National Technical University of Athens Athens Greece
J. Paulo Davim Department of Mechanical Engineering University of Aveiro Aveiro Portugal
Angelos P. Markopoulos Laboratory of Manufacturing Technology, School of Mechanical Engineering National Technical University of Athens Athens Greece
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISSN 2365-8223 ISSN 2365-8231 (electronic) Manufacturing and Surface Engineering ISBN 978-3-319-92392-5 ISBN 978-3-319-92393-2 (eBook) https://doi.org/10.1007/978-3-319-92393-2 Library of Congress Control Number: 2018942914 © The Author(s) 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The concept of Industry 4.0 is closely related to the incorporation of advancements in Information Technology into manufacturing technology and systems. As its name implies, it is a revolution in industry, aiming at a higher level of automation and digitization that will lead to the overall improvement of processes, services, and products. Several tools and technologies, such as Internet of Things, cloud computing, and big da
Data Loading...
