Research Team Supply Chain Security & Crisis Management
The research group Supply Chain Security and Crisis Management addresses specific challenges to decision support systems for practitioners in uncertain and unsteady environments exposed to disruptive events. Our activities are dedicated to understanding the use of information systems in order to ensure a rigor and relevant solution design and evaluation. We aim to provide reference models and procedures to assess current and potential future scenarios by means of modelling, visualization, analysis and simulation. In addition, we develop and apply dedicated approaches to system design and evaluation of socio-technical systems in the humanitarian domain.
The research team Supply Chain Security & Crisis Management:
- Dennis Horstkemper, M.Sc. (email@example.com).
- Michael Middelhoff, M.Sc. (firstname.lastname@example.org).
- Johannes Ponge, M.Sc. (email@example.com).
- Till Sahlmüller, M.Sc. (firstname.lastname@example.org).
- Lucas Stampe, M.Sc. (email@example.com).
- Katharina Volks, M.Sc. (firstname.lastname@example.org).
- Adam Widera, M.A. (email@example.com).
- Decision Support Systems for Epidemics Prevention
- Performance Measurement in Humanitarian Logistics
- Humanitarian Logistics Assessment
- Crisis Management Simulation
- Enterprise Security Architectures and Process Security
- Blood Supply Chain Management
- Design and Evaluation of Humanitarian Information Systems
- Demonstration of intelligent decision support for pandemic crisis prediction and management within and across European borders (STAMINA)
- Blood Information System for Crisis Intervention and Management (BISKIT)
- User-oriented Extension and Automation of Agent-based Software for Pathogen-specific Modelling of Epidemics (EpiPredict)
Teaching of ST 2022
- MA-CS Resilient Supply Chains
The last months have shown how vulnerable supply chains are. Of particular importance is their structure, i.e. in which regions suppliers are located, how many suppliers there are, where transport routes lead from and whether there are alternative transport options. In this seminar, we will examine the impact of supply chain disruptions on supply chains, what constitutes a "resilient" supply chain, and what strategies exist to make supply chains less vulnerable to disruptions.
Teaching of WT 2021/22
BA-PS Digitalization of the South African Blood Supply Chains
Due to their importance, blood supply chains are highly regulated and innovations common in general supply chains have often not been implemented by blood services yet. In the context of the research project BISKIT (Blood Information System for Crisis Intervention and Management), we analyze the South African Blood Supply Chains as well as digital innovations proposed in literature and practice, in order to evaluate which of these innovations should be implemented and how they can be employed to improve the blood supply chains crisis resilience.
MA-PS Using Open Data for Regional Covid-19 Forecasting
The accurate forecasting of the spread of infection in a pandemic is an important baseline for the planning of counter-pandemic strategies and future decision-making (e.g. possible border closure and vaccination strategies). However, many current forecasts are conducted on a low spatial resolution and do not incorporate changes in social and contact behavior. Therefore, they lack decision-support capabilities for local intervention-planning. The goal of the project seminar is to identify suitable open data sources for real-time infectious disease forecasting and to develop a prototype of a regional infectious disease forecasting model. The model shall include mobility data and social behavior data as well as public health data (current infections/vaccinations) and data on local restrictions.
We offer various topics in the areas of our past theses, which can be seen here:
- Adam Widera. Examples: Information Exchange for Pre-Positioning in the Co-opetition Environment of Humanitarian Logistics, Traffic Congestion Management System Governance Reference Model, Requirements Analysis for the Design of Process Models of Blood Chains during Disasters
- Michael Middelhoff. Examples: Conceptualization of Analysis Algorithms for Security Enhanced Business Process Models, Conceptualization of Analysis Algorithms for Security Enhanced Business Process Models, Procedure model for a periodical improvement of enterprise architectures using capability-based planning
- Johannes Ponge. Examples: Interpretable Hierarchical Forecasting of Infectious Diseases, An analysis of agent-based model development approaches in public health in context of the COVID-19 pandemic, Parallelization of Agent-Based Simulations of Epidemics
If you are interested in one of these areas, you can write a mail to the corresponding person, and we will work out a topic together!
- Ponge, J., Enbergs, M., Schüngel, M., Hellingrath, B., Karch, A., & Ludwig, S. (2021). Generating synthetic populations based on german census data. In Proceedings of the 2021 Winter Simulation Conference (WSC), Phoenix, USA.
- Hansen, H., Widera, A., Ponge, J. and Hellingrath, B., (2021), January. Machine Learning for Readability Assessment and Text Simplification in Crisis Communication: A Systematic Review. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 2265).
- Ponge, J., Hellingrath, B., Ludwig, S., Karch, A. (2020). A Microsimulation of Non-Pharmaceutical Interventions for the German Covid-19 Epidemic [Conference poster]. Zoonoses 2020 - International Symposium on Zoonoses Research