Volume 202
Intelligent Systems Reference Library
Series Editors
Janusz Kacprzyk
Polish Academy of Sciences, Warsaw, Poland
Lakhmi C. Jain
KES International, Shoreham-by-Sea, UK
The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia.
Indexed by SCOPUS, DBLP, zbMATH, SCImago.
All books published in the series are submitted for consideration in Web of Science.
More information about this series at http://www.springer.com/series/8578
Editors
Carlos Toro , Wei Wang and Humza Akhtar
Implementing Industry 4.0
The Model Factory as the Key Enabler for the Future of Manufacturing
1st ed. 2021
Logo of the publisher
Editors
Carlos Toro
Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Wei Wang
Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Humza Akhtar
Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
ISSN 1868-4394 e-ISSN 1868-4408
Intelligent Systems Reference Library
ISBN 978-3-030-67269-0 e-ISBN 978-3-030-67270-6
https://doi.org/10.1007/978-3-030-67270-6
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
This work is subject to copyright. All rights are solely and exclusively licensed 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, expressed 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.
This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Foreword
Innovation through collaboration is an Industry 4.0 specialty that is fully realized by the Advanced Remanufacturing and Technology Center (ARTC) in Singapore. There is a perfect ecosystem alignment of talent, policies, collaborators, and vision within Singapore to reshape the way institutional research and industry transformation can be synergized to exponentially escalate concepts into practice.
Launching in 2015 and in a short 5 years until this publication, the ARTC has made a sizable mark in Industry 4.0 research and transformation for some of the worlds most massive manufacturers to smallmedium enterprises around the region. Through the eyes of Arcstone, a next-generation digital manufacturing solutions company, we have accelerated our growth multi-fold by investing our time and resources into the ARTC and working with the exact same people you are going to read about in this book. The ARTC consists of brilliant minds that have blended expert industry knowledge with the research might of a national research agency, A*STAR. This is a potent combination designed to bring about rapid solutions into the industry and drive immediate economic, business, and sustainability.
Countless hours of research and centuries worth of combined industry experience have generated ecosystem impacting concepts and solutions detailed in this book. For researchers, practitioners, and industry players alike, leverage this knowledge to further advance Industry 4.0, optimize manufacturing operations, and revamp your business models respectively. Leverage this book as a steppingstone to join in on the collaborative nature of the ARTC and see how we can all continue to drive Industry 4.0 forward!
Willson Deng CEO, Arcstone; Chairman, SIMCO
Singapore
November 2020
Preface
The so-called Fourth Industrial Revolution is permeating heavily into the manufacturing landscape. Small and Medium Enterprises (SMEs) and Multi-National Companies (MNCs) alike want to see how Industry 4.0 is implemented as soon as possible and in the lesser disruptive manner, so they can continue focusing on production while taking advantage of the technologies associated.
National programs positioning countries in their respective regions have been approved and put into action. In Europe, the EU Commission launched the Factories of the Future program (20082020), committing an investment of 2.35B in a publicprivate partnership (PPP). The research domains include advanced manufacturing processes, digital, virtual, and resource-efficient factories.
In the case of Asia-Pacific region, one of the most relevant efforts is Singapores own Future of Manufacturing (FoM), led by the Agency for Science, Technology and Research (A*STAR). In order to implement FoM, A*STAR has created the Model Factory (MF) program.