A Mathematical Model to Route Technicians for Inland Waterway Shipping

Inland shipping is a critical part of the global transport network that links population centers over rivers for both cargo and passenger transportation. Inland ships follow tight schedules, leaving little time for required maintenance or emergency repair

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Eduardo Lalla-Ruiz Martijn Mes Stefan Voß (Eds.)

Computational Logistics 11th International Conference, ICCL 2020 Enschede, The Netherlands, September 28–30, 2020 Proceedings

Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA

Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA

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More information about this series at http://www.springer.com/series/7407

Eduardo Lalla-Ruiz Martijn Mes Stefan Voß (Eds.) •



Computational Logistics 11th International Conference, ICCL 2020 Enschede, The Netherlands, September 28–30, 2020 Proceedings

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Editors Eduardo Lalla-Ruiz University of Twente Enschede, The Netherlands

Martijn Mes University of Twente Enschede, The Netherlands

Stefan Voß University of Hamburg Hamburg, Germany

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-59746-7 ISBN 978-3-030-59747-4 (eBook) https://doi.org/10.1007/978-3-030-59747-4 LNCS Sublibrary: SL1 – Theoretical Computer Science and General Issues © Springer Nature Switzerland AG 2020 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, 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

Preface

The increasing complexity of present-day logistics operations as well as the increasing availability of information, makes it imperative to jointly use optimization and artificial intelligence for devising computational data-driven intelligent decision support. Recently, important efforts and initi