Applied Simulation and Optimization 2 New Applications in Logistics,
Building on the author’s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book s
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ied Simulation and Optimization 2 New Applications in Logistics, Industrial and Aeronautical Practice
Applied Simulation and Optimization 2
Miguel Mujica Mota ⋅ Idalia Flores De La Mota Editors
Applied Simulation and Optimization 2 New Applications in Logistics, Industrial and Aeronautical Practice
123
Editors Miguel Mujica Mota School of Technology Amsterdam University of Applied Sciences Amsterdam, North Holland The Netherlands
ISBN 978-3-319-55809-7 DOI 10.1007/978-3-319-55810-3
Idalia Flores De La Mota Facultad de Ingeniería Universidad Nacional Autónoma de México Mexico City Mexico
ISBN 978-3-319-55810-3
(eBook)
Library of Congress Control Number: 2017934453 © Springer International Publishing AG 2017 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 Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To my Parents and Christina
Foreword
Simulation allows to reproduce complex behaviors of existing real-world and hypothetical future systems as well as to carry out experiments on virtual environments to improve understanding, to develop new concepts, and to test technologies in a cost-effective way and safe environment. Experience gained in the last years indicates that the extensive use of simulation constitutes an invaluable methodology to cope with most critical scenarios and threats, and it is evident that the future will introduce further challenges. These scenarios typically need to be studied by using the theory of complex systems, characterized by many highly correlated elements, strongly not linear components and emergent behavior. In order to succeed in these scenarios, it becomes necessary to develop new solutions (i.e., technologies, systems, new doctrines, operational
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