Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains
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A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Kersten, Wolfgang (Ed.); Blecker, Thorsten (Ed.); Ringle, Christian M. (Ed.) Proceedings Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains Proceedings of the Hamburg International Conference of Logistics (HICL), No. 27 Provided in Cooperation with: Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management Suggested Citation: Kersten, Wolfgang (Ed.); Blecker, Thorsten (Ed.); Ringle, Christian M. (Ed.) (2019) : Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains, Proceedings of the Hamburg International Conference of Logistics (HICL), No. 27, ISBN 978-3-7502-4947-9, epubli GmbH, Berlin, http://dx.doi.org/10.15480/882.2460 This Version is available at: http://hdl.handle.net/10419/209196 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. 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Editors: Kersten, W., Blecker, T., Ringle, C.M. and Jahn, C. 2018 The Road to a Digitalized Supply Chain Management. ISBN: 978-3-746765-35-8 Logistics 4.0 and Sustainable Supply Chain Management. ISBN: 978-3-746765-36-5 Editors: Kersten, W., Blecker, T., Ringle, C.M. and Jahn, C. 2017 Digitalization in Supply Chain Management and Logistics. ISBN 978-3-7450-4328-0 Digitalization in Maritime Logistics and Sustainable Supply Chain Management. ISBN 978-3-7450-4332-7 Editors: Kersten, W., Blecker, T. and Ringle, C.M. 2015 Innovations and Strategies for Logistics and Supply Chains. ISBN 978-3-7375-6206-5 Sustainability in Logistics and Supply Chain Management. ISBN 978-3-7375-4057-5 Operational Excellence in Logistics and Supply Chains. ISBN 978-3-7375-4056-8 Editors: Kersten, W., Blecker, T. and Ringle, C.M. 2014 Innovative Methods in Logistics and Supply Chain Management. ISBN 978-3-7375-0341-9 Next Generation Supply Chains. ISBN 978-3-7375-0339-6 …find more proceedings on hicl.org/publications Proceedings of the Hamburg International Conference of Logistics 27 Artificial Intelligence and Digital Transformation in Supply Chain Management Innovative Approaches for Supply Chains Prof. Dr. Dr. h. c. Wolfgang Kersten Prof. Dr. Thorsten Blecker Prof. Dr. Christian M. Ringle (Editors) The contents of this book are licensed under the Creative Commons Attribution- ShareAlike 4.0 International License. To view a copy of this license, visit https://crea- tivecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Edition 1st edition, September 2019 Publisher epubli GmbH, Berlin, www.epubli.de Editors Wolfgang Kersten, Thorsten Blecker and Christian M. Ringle Cover design Martin Brylowski Cover photo Photo by Julius Drost on Unsplash Layout Michelle Dietrich, Ashwin Kudva, Ayman Nagi and Hamza Bin Sohail ISBN 978-3-750249-47-9 ISSN (print) 2635-4430 ISSN (online) 2365-5070 v Preface Digitalization trends continue to shape the industrial world opening up new opportunities across a wide range of sectors. Artificial intelligence (AI) is considered a key driver of digital transformation that has the potential to introduce new sources of growth. Besides AI, the recent advances in machine learning and automation have created a whole new business ecosystem. This year’s edition of the HICL proceedings complements the last year’s volume: The Road to a Digitalized Supply Chain Management. All entities along the supply chain are challenged to adapt new business models, techniques and processes to enable a smooth transition into a digitalized supply chain management. This book focuses on core topics of artificial intelligence and digitalization in the supply chain. It contains manuscripts by international authors providing comprehensive insights into topics such as digital logistics, robot-human learning, risk management or gamification and provide future research opportunities in the field of supply chain management. We would like to thank the authors for their excellent contributions, which advance the logistics research process. Without their support and hard work, the creation of this volume would not have been possible. Hamburg, September 2019 Prof. Dr. Dr. h. c. Wolfgang Kersten Prof. Dr. Thorsten Blecker Prof. Dr. Christian M. Ringle Table of Contents Preface .............................................................................................................. v I. Advanced Manufacturing and Industry 4.0 .................................... 1 Digital Twin for Real-Time Data Processing in Logistics ............................... 3 Hendrik Haß, Bin Li , Norbet Weißenberg, Jan Cirullies and Boris Otto Breaking Through the Bottlenecks Using Artificial Intelligence ................. 29 Julia Feldt, Henning Kontny and Axel Wagenitz Sharing Information Across Company Borders in Industry 4.0 .................. 57 Kai-Ingo Voigt, Julian M. Müller, Johannes W. Veile, Marie-Christin Schmidt Robot-Human-Learning for Robotic Picking Processes .............................. 87 Mathias Rieder and Richard Verbeet II. Innovation and Technology Management .................................. 115 Digital Logistics, Strategic Cognitive Readiness and Employee Training 117 Thomas Neukirchen and Matthias Klumpp SmartAirCargoTrailer – Autonomous Short Distance Transports in Air Cargo ............................................................................................................ 151 Benjamin Bierwirth, Ulrich Schwanecke, Thomas Gietzen, Daniel Andrés Lopéz, Robert Brylka A Quantitative Assessment of the Collaborative Logistics Benefits ......... 187 Camillo Loro, Riccardo Mangiaracina, Angela Tumino, Alessandro Perego Algorithm for Situation-dependent Adaptation of Velocity for Shuttle Based Systems ............................................................................................. 223 Thomas Kriehn, Franziska Schloz, Robert Schulz, Markus Fittinghoff Disruptive Technologies - Integration in Existing Supply Chain Processes ...................................................................................................... 265 Stephanie Niehues, Tan Gürpinar Identifying Research Gaps in Supply Chain Innovation ............................ 297 Fatemeh Seidiaghilabadi, Zahra Seidiaghilabadi, Aida Miralmasi Can Gamification Reduce the Shortage of Skilled Logistics Personnel? . 331 Florian Hofbauer and Lisa-Maria Putz Machine Learning in Demand Planning: Cross-industry Overview .......... 355 Nikolas Ulrich Moroff and Saskia Sardesai III. Supply Chain Analytics and Blockchain .................................... 385 Blockchain Adoption at German Logistics Service Providers ................... 387 Oliver Kühn, Axel Jacob and Michael Schüller A Literature Review on Machine Learning in Supply Chain Management ................................................................................................ 413 Hannah Wenzel, Daniel Smit and Saskia Sardesai Impact and Beneficiaries of Blockchain in Logistics ................................. 443 Thomas Twenhöven and Moritz Petersen Prototype for a Permissioned Blockchain in Aircraft MRO ....................... 469 Jakob Schyga, Johannes Hinckeldeyn and Jochen Kreutzfeldt Design of Self-regulating Planning Model .................................................. 507 Maria Paula Espitia Rincon, David Alejandro Sanabria Martínez, Kevin Alberto Abril Juzga and Andrés Felipe Santos Hernández IV. Risk and Security Management ............................................... 541 New Concepts for Cybersecurity in Port Communication Networks ....... 543 Nils Meyer-Larsen, Rainer Müller and Katja Zedel Smart Risk Analytics Design for Proactive Early Warning ......................... 559 Katharina Diedrich and Katja Klingebiel I. Advanced Manufacturing and Industry 4.0 Digital Twin for Real-Time Data Processing in Logistics Hendrik Haße1, Bin Li1, Norbet Weißenberg1, Jan Cirullies1 and Boris Otto1 1 – Fraunhofer Institute