Product Ramp-up for Semiconductor Manufacturing Automated Recommendation of Control System Setup
Predictable and fast production launch of new products (product ramp-up) is a crucial success factor in the production industry in general, and for the production of integrated circuits (ICs) in particular. During the ramp-up phase of the product there is
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mantic Web Technologies for Intelligent Engineering Applications
Semantic Web Technologies for Intelligent Engineering Applications
Stefan Biffl ⋅ Marta Sabou Editors
Semantic Web Technologies for Intelligent Engineering Applications
123
Editors Stefan Biffl TU Wien Vienna Austria
ISBN 978-3-319-41488-1 DOI 10.1007/978-3-319-41490-4
Marta Sabou TU Wien Vienna Austria
ISBN 978-3-319-41490-4
(eBook)
Library of Congress Control Number: 2016944906 © Springer International Publishing Switzerland 2016 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Foreword I
In the 1970s and early 1980s, the Benetton Group experienced extraordinary growth, increasing the sales from 33 billion lire in 1970 to 880 billion lire in 1985 (the latter figure is roughly equivalent to 1.2 billion euro in today’s value), an increase of over 2,500 %.1 There were several reasons for this commercial success, but arguably, a key reason was the introduction of innovative manufacturing processes, which supported flexible, data-driven product customization. In practice, what Benetton pioneered (among other things) was a model, where clothes were produced undyed and were only finalized as late as possible, in response to data coming from retail sales. This approach was supported by a sophisticated (for the time) computing infrastructure for data acquisition and processing, which supported a quasi-real-time approach to manufacturing. It is interesting that in this historical example of industrial success, we have the three key elements, which are today a foundation of the new world of flexible, intelligent manufacturing: innovative manufacturing technologies, which are coupled with intelligent use of data, to enable just-in-time adaptation to market trends. The term Industrie 4.0 is increasingly used to refer to the emergence of a fourth industrial revo
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