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Artificial Intelligence and Digital Transformation in Supply Chain Management Proceedings of the Hamburg International Conference of Logistics (HICL) – 27 Wolfgang Kersten, Thorsten Blecker and Christian M. Ringle (Eds.) Artifcial Intelligence and Digital Transfor- mation in Supply Chain Management HICL PROCEEDINGS Editors: Kersten, W., Blecker, T., Ringle, C.M. and Jahn, C. 2019 Artificial Intelligence and Digital Transformation in Supply Chain Management. Digital Transformation in Maritime and City Logistics. 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 for Software and Systems Engineering ISST Purpose: Key performance indicators (KPIs) are an essential management tool. Real- time KPIs for production and logistics form the basis for flexible and adaptive pro- duction systems. These indicators unfold their full potential if they are seamlessly integrated into the “Digital Twin” of a company for data analytics. Methodology: We apply the Design Science Research Methodology for Information Systems Research for deriving a digital twin architecture. Findings: Research in the field of digital twins is at an early state, where the main objective is to find new applications for this technology. The majority of digital twin applications relate to the fields of manufacturing. Finally, it became apparent that existing architectures are too generic for usage in logistics. Originality: The approach presented is an affordable solution for stakeholders to start with a digital transformation, based on standards and therefore highly technol- ogy-independent. The combined use of a lambda architecture with a semantic layer for flexible KPI definition is a special case. Keywords: Digital Twin, Real-time, KPI, IoT First received: 19.May.2019 Revised: 28.May.2019 Accepted: 11.June.2019 4 Hendrik Haße et al. Introduction Every day, logistics generates a vast amount of data, which is mainly gen- erated by controlling and monitoring enormous flows of goods (Jeske, Grü- ner and Weiß 2014, p. 9). The data generated in this way holds considerable potential for optimization. A central challenge is the intelligent use of data (Spangenberg, et al., 2017, p. 44). The value of data is not measured by the amount of data collected, but by the applications made possible by the data. For this purpose, the collected data must be prepared in such a way that it can form the basis for optimization measures. Making use of such data requires a substantial and valid data basis. Data collection, for example, is no longer a particular challenge due to increas- ingly improved and cheaper sensor technology. What is essential, howev- er, is how this data is evaluated and how this evaluated data contributes
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