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Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains, vol 27

Edited by Wolfgang Kersten, Thorsten Blecker and Christian Ringle

in Proceedings of the Hamburg International Conference of Logistics (HICL) from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, currently edited by Wolfgang Kersten; Thorsten Blecker

Abstract: This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and supply chains. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply chain analytics and risk management. This volume, edited by Wolfgang Kersten, Thorsten Blecker and Christian Ringle, provides valuable insights into the digitalization of Supply Chain Management and Logistics with regard to: Innovation and Technology Management, Advanced Manufacturing and Industry 4.0. Supply Chain Analytics, Risk and Security Management.

Keywords: Supply Chain Management; Logistics; Digitalization; Supply Chain Risk Management; Industry 4.0; Artificial Intelligence (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/209196/1/hicl-vol-27.pdf (application/pdf)

Chapters in this book:

Digital twin for real-time data processing in logistics , pp 4-28 Downloads
Hendrik Haße, Bin Li, Norbert Weißenberg, Jan Cirullies and Boris Otto
Breaking through the bottlenecks using artificial intelligence , pp 30-56 Downloads
Julia Feldt, Henning Kontny and Axel Wagenitz
Sharing information across company borders in industry 4.0 , pp 57-85 Downloads
Kai-Ingo Voigt, Julian Müller, Johannes Veile and Marie-Christin Schmidt
Robot-human-learning for robotic picking processes , pp 87-114 Downloads
Mathias Rieder and Richard Verbeet
Digital logistics, strategic cognitive readiness and employee training , pp 117-150 Downloads
Thomas Neukirchen and Matthias Klumpp
SmartAirCargoTrailer: Autonomous short distance transports in air cargo , pp 151-185 Downloads
Benjamin Bierwirth, Ulrich Schwanecke, Thomas Gietzen, Daniel Andrés Lopéz and Robert Brylka
A quantitative assessment of the collaborative logistics benefits , pp 187-222 Downloads
Camillo Loro, Riccardo Mangiaracina, Angela Tumino and Alessandro Perego
Algorithm for situation-dependent adaptation of velocity for shuttle based systems , pp 223-264 Downloads
Thomas Kriehn, Franziska Schloz, Robert Schulz and Markus Fittinghoff
Disruptive technologies: Integration in existing supply chain processes , pp 265-296 Downloads
Stephanie Niehues and Tan Gürpinar
Identifying research gaps in supply chain innovation , pp 298-330 Downloads
Fatemeh Seidiaghilabadi, Zahra Seidiaghilabadi and Aida Miralmasi
Can gamification reduce the shortage of skilled logistics personnel? , pp 331-354 Downloads
Florian Hofbauer and Lisa-Maria Putz
Machine learning in demand planning: Cross-industry overview , pp 355-383 Downloads
Nikolas Ulrich Moroff and Saskia Sardesai
Blockchain adoption at German logistics service providers , pp 387-411 Downloads
Oliver Kühn, Axel Jacob and Michael Schüller
A literature review on machine learning in supply chain management , pp 413-441 Downloads
Hannah Wenzel, Daniel Smit and Saskia Sardesai
Impact and beneficiaries of blockchain in logistics , pp 443-468 Downloads
Thomas Twenhöven and Moritz Petersen
Prototype for a permissioned blockchain in aircraft MRO , pp 469-505 Downloads
Jakob Schyga, Johannes Hinckeldeyn and Jochen Kreutzfeldt
Design of self-regulating planning model , pp 507-539 Downloads
Maria Paula Espitia Rincon, David Alejandro Sanabria Martínez, Kevin Alberto Abril Juzga and Andrés Felipe Santos Hernández
New concepts for cybersecurity in port communication networks , pp 545-558 Downloads
Nils Meyer-Larsen, Rainer Müller and Katja Zedel
Smart risk analytics design for proactive early warning , pp 559-585 Downloads
Katharina Diedrich and Katja Klingebiel

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:hiclpr:27

DOI: 10.15480/882.2460

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