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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
Author:Stefan Leachu, Stefanie Berninger, Jokim JanßenGND
Document Type:Lecture
Language:English
Date of Publication (online):2022/09/21
Date of first Publication:2022/09/21
Release Date:2023/01/11
FIR-Number:SV7523
congress:PRO-VE 2022: 23rd Working Conference on Virtual Enterprises
Date of the presentation:19.09-21.09.2022
place:Lisabon
Date of the presentation:21.09.2022
Name of the conference:PRO-VE 2022: 23rd Working Conference on Virtual Enterprises
place of the conference:Lisabon
Date of the conference:19.09-21.09.2022
Institute / Department:FIR e. V. an der RWTH Aachen
Informationsmanagement
Produktionsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften