Towards Supply Chain Risk Analytics Fundamentals, Simulation, Optimi
In this thesis, Iris Heckmann develops a profound conceptual basis of supply chain risk analytics. She transfers the newly defined concepts for the modelling and operationalization of supply chain risk within simulation and optimization approaches, in ord
- PDF / 4,296,747 Bytes
- 419 Pages / 433.701 x 612.283 pts Page_size
- 53 Downloads / 213 Views
Towards Supply Chain Risk Analytics Fundamentals, Simulation, Optimization
Towards Supply Chain Risk Analytics
Iris Heckmann
Towards Supply Chain Risk Analytics Fundamentals, Simulation, Optimization
Iris Heckmann Karlsruhe, Deutschland Von der Fakultät für Wirtschaftswissenschaften des Karlsruher Instituts für Technologie (KIT) genehmigte Dissertation. Tag der mündlichen Prüfung: 26.10.2015 Referent: Prof. Dr. Stefan Nickel Korreferent: Prof. Dr. Francisco Saldanha-da-Gama Prüfer: Prof. Dr. Wolf Fichtner Vorsitzender: Prof. Dr. Rudi Studer
ISBN 978-3-658-14869-0 ISBN 978-3-658-14870-6 (eBook) DOI 10.1007/978-3-658-14870-6 Library of Congress Control Number: 2016945784 Springer Gabler © Springer Fachmedien Wiesbaden 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 Gabler imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH
Acknowledgments The pursuit of well-sophisticated solutions, derived from theory and made applicable in practice, led me to FZI Research Center for Information Technology. At FZI I was given the opportunity to work on improvements for logistics systems, to learn technical content, to get to know real-world problems and to experience a fruitful working environment. During that time I worked on the topic of Supply Chain Risk which resulted in the underlying thesis. However, this work would have not been possible without the support and guidance of others, who I want to thank here. I am indebted to Prof. Stefan Nickel for being the supervisor of this thesis and a mentor to my research work – especially for his farsighted guidance, his productive ideas, and his sincere interest in discussing (rebutting or exploring). My thanks also go to Prof. Francisco Saldanha-da-Gama for being the co-supervisor of this work – for his calm, his profound thoughts and his ability to explain. Thanks are due to Prof. Wolf Fichtner for being part of the examination committee an
Data Loading...
