Proceedings of the Hamburg International Conference of Logistics (HICL) / Adapting to the Future
How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management
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Beschreibung
This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management.
This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. 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, Christian Ringle and Thorsten Blecker, provides valuable insights into artificial intelligence and digital transformation in Supply Chain Management with regard to:
- Advanced Manufacturing and Industry 4.0
- Artificial Intelligence and Blockchain
- Business Analytics
- Innovation and Technology Management
- Supply Chain Risk and Security Management
Autor*in
Wolfgang Kersten
Prof. Dr. Dr. h. c. Kersten is the director of the Institute of Business Logistics and General Management at the Hamburg University of Technology (TUHH). He has more than 10 years’ experience in industry as senior manager at Daimler AG, as a senior researcher at Technische Universität München (TUM).
Prof. Kersten is vice-chairman of the Scientific Advisory Board of the AiF German Federation of Industrial Research Associations and a member of the Scientific Advisory Board of the German Logistics Association (BVL).
His research interests include logistics and supply chain management, supply chain risk management, complexity management, and process optimization, undertaking various projects in these fields together with manufacturing industry and logistics service providers.
Themen in »Proceedings of the Hamburg International Conference of Logistics (HICL) / Adapting to the Future«
Logistics Industry 4.0 Digitalization Innovation Supply Chain Management Artificial Intelligence Data Science