This page lists relevant research conducted at the Institute of Business Logistics and General Management at the Hamburg University of Technology.
Projects
RiskBlock - Mitigating Risks in Temperature-controlled Supply Chains Using Blockchain Technology
In March 2020, the research project "RiskBlock - Mitigating Risks in Temperature-controlled Supply Chains Using Blockchain Technology" was officially launched with the project participants in Germany and Singapore.
Mitigating the Effects of Emergencies in Baltic Sea Region Ports (HAZARD)
Ports, terminals and storage facilities are often located close to residential areas, thus potentially exposing a large number of people to the consequences of accidents. The HAZARD project deals with these concerns by bringing together rescue services, other authorities, logistics operators and established knowledge partners.
Project for the situation-adequate implementation of a Supply Chain Risk Management (SitRisk)
Increasing dependence on supply chain partners increases the risk of disruptions in increasingly complex value chains. Studies have shown that company performance and thus competitiveness can be significantly improved by systematic risk management.
SCRM Audit – Conceptual development of a holistic internal self audit for Supply Chain Risk Management
The project focuses on developing a holistic concept for self-auditing to detect both, weaknesses in the SCRM system and potential success factors for the company. Particularly importance is given to a SME-specific conception to apply the auditing with an acceptable effort.
Project on developing a Supply Chain Risk Management Navigator
The aim of the project was to develop a comprehensive methodological framework for effective and efficient management of company and supply chain-specific risks: the Supply Chain Risk Management Navigator. This was implemented in an SME-friendly manner with the help of a tool (demonstrator). From an economic point of view, this results in far-reaching advantages that increase the competitiveness of SMEs. Thus, SMEs are systematically supported in establishing a standardized process for risk identification, analysis, assessment, management and control, taking into account the cross-supply chain perspective.
Contributions
Kersten, Wolfgang, Schröder, Meike and Nagi, Ayman (2022). Digitalisation - a challenging enabler for supply chain risk management. Handbuch Digitalisierung. pp. 743-758
Nagi, Ayman and Schröder, Meike and Kersten, Wolfgang (2021). Risk Management in Seaports: A Community Analysis at the Port of Hamburg. Sustainability. 13. (14)
Brylowski, Martin, Schröder, Meike and Kersten, Wolfgang (2021). Machine Learning im Supply Chain Risk Management: Studie. Institute of Business Logistics and General Management in collaboration with riskmethods GmbH.
Schröder, Meike and Lodemann, Sebastian (2021). A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management. Logistics. 3. (5), 62
Indorf, Marius and Kersten, Wolfgang and Schröder, Meike (2016). Risk Management of Supply Chains in the Digital Age. In Delfmann, Werner and Wimmer, Thomas (Eds.) Logistics in the Times of the 4th Industrial Revolution Ideas, Concepts, Scientific Basis Bundesvereinigung Logistik (BVL) e.V: 185-198
Schröder, Meike and Kersten, Wolfgang and Beck, Johannes (2015). Identification of design variables for a Supply Chain Risk Management Audit. In Kersten, Wolffang and Blecker, Thorsten and Ringle, Christian (Eds.) Innovations and strategies for logistics and supply chains : technologies, business models and risk management epubli GmbH: 479-505
Final Reports
Situationally appropriate implementation of Supply Chain Risk Management
This IGF project with the number 17234 N / 1 of the Forschungsvereinigung Bundesvereinigung Logistik e.V. - BVL was funded by the Federal Ministry of Economics and Technology via the AiF within the framework of the program for the promotion of joint industrial research and development (IGF) based on a resolution of the German Bundestag.
Dissertations
Development of a model for the situation-adequate implementation of supply chain risk management
Table of Contents: Link
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