Thursday, October 17th 2024
(Milan Time) 10:00 -11:00
(Beijing Time) 16:00-17:00
Tencent ID : 502-1550-7842
Biography
Prof. Dr. Stefan Wolfgang Pickl received his Ph.D. degree from TU Darmstadt in 1998 and his Habilitation in 2004/2005. From 2000 to 2005, he was a research assistant and project manager at the Center for Applied Informatics Cologne, focusing on modeling, simulation, and optimization of resource conflicts. Since July 2005, he served as the Chair of Operations Research at the Bundeswehr University Munich. Currently, Prof. Pickl is Deputy Chairman of the German Committee for Disaster Risk Reduction (DKKV) and Chairman of the Advisory Board of the German Society for Operations Research (GOR). In 2023, he was elected as a member of the German National Academy of Science and Engineering (acatech). His research interests are IT-based decision-making and process optimization.
Title: Data-driven decision support in complex situations- IRIS Integrated Reachback Information System as hybrid optimization framework: Digital Twins for the Anomaly Detection of Complex Supply Chains
Abstract
The current situation faced both the decision-makers in politics in particular as well as the players in the logistics industry in generally 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 »OPERA – Future Operations« an interdisciplinary consortium develops a trend-setting interactive visualization tool to support decision makers politics, to adapt and to explore different strategies especially with the aid of digital twins. 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. With the aid of a digital twin “IRIS” approach, anomaly detection should be supported.
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.