Strategisches Supply-Chain-Risikomanagement: Einsatz von Künstlicher Intelligenz und Big Data zur Unterstützung des strategischen Supply-Chain-Risikomanagements
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Authors
Complexity and uncertainty along supply chains can be made more manageable through data-driven processes. Artificial intelligence (AI) methods in particular can be used to analyse large amounts of data from companies. As a result, a strategic supply chain risk management can be set up to monitor various sources of risk. In this context, this article provides a systematic overview of the possible applications of AI methods.
| Translated title of the contribution | Strategic Supply Chain Risk Management : Artificial Intelligence and Big Data to Support Strategic Supply Chain Risk Management |
|---|---|
| Original language | German |
| Journal | ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb |
| Volume | 117 |
| Issue number | 5 |
| Pages (from-to) | 349-353 |
| Number of pages | 5 |
| ISSN | 0947-0085 |
| DOIs | |
| Publication status | Published - 30.05.2022 |
Bibliographical note
Publisher Copyright:
© 2022 Walter de Gruyter GmbH, Berlin/Boston, Germany.
- Strategy and Management
- Engineering(all)
- Management Science and Operations Research
ASJC Scopus Subject Areas
- Engineering