Data-driven decision support in complex situations-IRIS Integrated Reachback Information System: Case Study: Data-driven Decision Support and Sector-based Optimization with the management cockpit IDEA4C IDEA4C – Model Diagnosis, Complex Analysis, Socio- Economic Impacts and Future Operations using special Integrated Assessment Scenarios to optimize a Systemic Risk Analysis
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PICKL, Stefan Wolfgang. Data-driven decision support in complex situations-IRIS Integrated Reachback Information System: Case Study: Data-driven Decision Support and Sector-based Optimization with the management cockpit IDEA4C IDEA4C – Model Diagnosis, Complex Analysis, Socio- Economic Impacts and Future Operations using special Integrated Assessment Scenarios to optimize a Systemic Risk Analysis. In: Workshop on Intelligent Information Systems, Ed. 2023, 19-21 octombrie 2023, Chişinău. Chişinau, Moldova: Valnex, 2023, pp. 22-23. ISBN 978-9975-68-492-7..
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Workshop on Intelligent Information Systems 2023
Conferința "Workshop on Intelligent Information Systems"
2023, Chişinău, Moldova, 19-21 octombrie 2023

Data-driven decision support in complex situations-IRIS Integrated Reachback Information System: Case Study: Data-driven Decision Support and Sector-based Optimization with the management cockpit IDEA4C IDEA4C – Model Diagnosis, Complex Analysis, Socio- Economic Impacts and Future Operations using special Integrated Assessment Scenarios to optimize a Systemic Risk Analysis

CZU: 004.9:[61+33]

Pag. 22-23

Pickl Stefan Wolfgang
 
Institut für Theoretische Informatik, Mathematik und Operations Research
 
 
Disponibil în IBN: 8 decembrie 2023


Rezumat

The current situation in the context of COVID-19 faced both the decision-makers in politics in particular as well as the players in the logistics industry in general a multitude of complex challenges. The supply chains considered currently need special attention to be optimized on complex disruptions that affect the general security of supply. As part of the research project “COVID-19 – Future Operations” an interdisciplinary consortium develops a trend-setting interactive visualization tool and management cockpit to support decision makers politics, to adapt and to explore different strategies. This talk gives an overview on that project. Furthermore it presents the special sector-based approach IDEA4C as part of the IRIS project: I – Identification of critical regions, sectors and coupling principles Cost-Benefit Analysis for critical sectors D – Data-driven constraint optimization Coupled Sector-based Models E – Exploratory Strategies/ Recognition of critical pathways and sectors Characterization of Pathways A – Adaptation and Quantifying Analysis Coordination of Strategies This 4C-approach describes a new integrated modelling suite for developing and assessing relief distribution strategies to support quarantined areas during a pandemic situation, based on the latest developments observed in the COVID-19 outbreak. This hybrid optimization framework as example for IRIS has been conceptualized and is currently being developed with and for experts in the field of disaster and emergency management, in order to tackle the real issues arising during such this crisis.