Bretones Cassoli, B.; Hoffmann, F.; Metternich, J.: Comparison of AI-Based Business Models in Manufacturing: Case Studies on Predictive Maintenance. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 637-647. DOI:
https://doi.org/10.15488/11286
Zusammenfassung: |
Recent advances in Artificial Intelligence extend the boundaries of what machines can do in all industries
and business sectors. The economic potential to apply AI in manufacturing results in an increasing number
of companies striving to gain a competitive advantage through AI and move into new markets. In this
context, particular importance is given to the predictive maintenance of machines. Predictive maintenance
promises the possibility of avoiding unexpected machine downtimes and thus increasing the availability of
production lines. However, only a few machine manufacturers have a marketable offering of AI-based
products or services in their portfolio. Even if technical feasibility is proven, companies lack an
understanding of how to integrate AI solutions into new Business Models. This paper thus presents three
case studies and their Business Models as examples. Practical considerations and recommendations on the
strategical adoption of predictive maintenance technologies are derived.
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Lizenzbestimmungen: |
CC BY 3.0 DE - https://creativecommons.org/licenses/by/3.0/de/
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Publikationstyp: |
BookPart |
Publikationsstatus: |
publishedVersion |
Erstveröffentlichung: |
2021 |
Schlagwörter (englisch): |
Predictive Maintenance, Artificial Intelligence, Business Models, Machine Tools
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Fachliche Zuordnung (DDC): |
620 | Ingenieurwissenschaften und Maschinenbau
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Kontrollierte Schlagwörter: |
Konferenzschrift
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