IDEA4C – Model Diagnosis, Socio-Economic Impacts and Future Operations using special Integrated Assessment Scenarios of the Project COVID crisis team-SYRI – Systemic Risk Analysis

  • on August 31, 2020
Covid-related publication

IDEA4C – Model Diagnosis, Socio-Economic Impacts and Future Operations using special Integrated Assessment Scenarios of the Project COVID crisis team-SYRI – Systemic Risk Analysis

  • Type of publication:Journal Article
  • Date of publication:August 2020
  • Author/s:Gerschberger, M.; Pickl, S.; Staberhofer, F.
  • Related Project:LIVE Systemic Integrated Risk Assessment
  • Url:https://www.govisible.org/

The current situation in the context of COVID-19 represents both the decision-makers in Austrian politics in particular as well as the players in the logistics industry in generally faced a multitude of complex challenges. The focus of the research project SYRI – systemic risk analysis is the food Security of supply for the Austrian population in the face of COVID-19. The supply chains considered currently need special attention to be proactive on events that affect the general security of supply to be able to react. As part of the project »COVID-19 – Future Operations« develops an interdisciplinary consortium Complexity Science Hub Vienna, logistics center of the FH Upper Austria (especially the new Josef Ressel Center LIVE with the Research group COMTESSA at the UBw Munich as Network partner), Vetmeduni Vienna and BOKU Institute for Production management and logistics a trend-setting one interactive visualization tool IDEA4C to support decision makers politics, to adapt and to explore strategies:

This innovative integrated target based-approach is described by the following four key principles of the IDEA4C (“foresee”) – Model:

I –        Identification of critical regions, sectors and coupling principles (especially under consideration of specific climate change aspects) – Early Identifying bottlenecks at the local level, based on climate-change disturbations.
Cost-Benefit Analysis for critical sectors.

D –       Data-driven constraint optimization
Coupled Models

E –       Exploratory Strategies
Recognition of critical pathways: Delivery bottlenecks at food producers (suppliers for retail chains) and their effects on the individual Grocer (branches, warehouses). Early detection of bottlenecks at the regional level through consideration of system-wide inventory
Characterization of Pathways

A –       Adaptation and Quantifying Analysis
Coordination of Strategies