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AI-Based Crisis Management Utilizing Scenarios

  • Crises pose significant short and long-term threats to companies. The research project PAIRS aims to strengthen the resilience of actors in the supply-chain, en-ergy, and healthcare sectors in crisis situations. The basis for this is the newly created potential in data exchange, which is leveraged by combining internal with external (company-)data, e.g. in the GAIA-X network. AI is then the key to iden-tifying the time of the crisis and deriving appropriate actions to deal with it. Therefore, crisis scenarios are generated, and risks are assessed. In this paper, the project fundamentals are discussed. This includes the development of a project definition of the term "crisis", which is based on literature research of various scientific disciplines (e.g. economics or political science), as well as interviews with professional and academic experts from different fields. Moreover, a specif-ic example from the supply-chain domain is introduced to illustrate the process of requirement identification.

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Metadaten
Verfasserangaben:Stefan Leachu, Stefanie Berninger, Jokim JanßenGND
Dokumentart:Vortrag Industrie/Forschung
Sprache:Englisch
Datum der Veröffentlichung (online):21.09.2022
Datum der Erstveröffentlichung:21.09.2022
Datum der Freischaltung:11.01.2023
FIR-Nummer:SV7523
Veranstaltung:PRO-VE 2022: 23rd Working Conference on Virtual Enterprises
Zeitraum der Veranstaltung:19.09-21.09.2022
Ort:Lisabon
Vortrag gehalten am:21.09.2022
Konferenzname:PRO-VE 2022: 23rd Working Conference on Virtual Enterprises
Konferenzort:Lisabon
Konferenzzeitraum:19.09-21.09.2022
Institut / Bereiche des FIR:FIR e. V. an der RWTH Aachen
Informationsmanagement
Produktionsmanagement
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften