Authors: C. Fikar, M. Gronalt
Rail disruptions can have severe consequences on inter- regional supply chains. To investigate such impacts and the resulting delays of shipments, this work introduces a simulation-based decision support system to model rail disruptions and corresponding supply chain vulnerabilities. Therefore, to enable a quick modeling approach and the generation of multiple disruptions scenarios, openly available road and rail network data are combined with simulation tools and open source routing and graph-theory libraries. This enables to automatically generate a high-level rail network to investigate various settings. As a result, critical links and industrial locations at risk are identified and decision-support is given.