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KI 2021 DC: AI Methods in Procurement
Spreitzenbarth, Jan
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URL:
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https://www.fdr.uni-hamburg.de/record/9613#.Y2t18u...
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Weitere URL:
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https://www.researchgate.net/publication/354687107...
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Dokumenttyp:
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Präsentation auf Konferenz
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Erscheinungsjahr:
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2021
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Veranstaltungstitel:
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KI 2021, 44th German Conference on Artificial Intelligence, Early Career Research Consortium
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Veranstaltungsort:
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Berlin, Germany, Online
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Veranstaltungsdatum:
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27.09.-01.10.2021
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Verwandte URLs:
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Betriebswirtschaftslehre > Stiftungslehrstuhl für Procurement (Bode 2014-)
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Fachgebiet:
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004 Informatik
330 Wirtschaft
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Freie Schlagwörter (Englisch):
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procurement , supply chain management , applied AI
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Abstract:
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Artificial intelligence is a research area that attempts to design mechanisms allowing machines to develop intelligent behavior. It is a key technology for procurement and its usage is still in its infancy. For instance, the Volkswagen "Procurement Strategy 2025" stresses the potential of artificial intelligence to optimize processes and structures-and this applies to the automotive industry and other procurement organizations worldwide. Yet, only a few have successfully integrated artificial intelligence methods into their operations and across their supply chains but is recently starting to emerge. This constitutes a research opportunity on how artificial intelligence increases its performance. The Ph.D. is set up as external doctoral research supported by Porsche and the Volkswagen AutoUni in cooperation with the University of Mannheim. The research goal is to examine and exploit ideas on how methods of artificial intelligence can be utilized in the procurement function. Procurement is often one of the last functions to be digitized. However, it must keep up in the race against the capabilities of our negotiation partners in the sales organizations of our suppliers worldwide.
The early career research consortium has provided young researchers from any subject area within AI with the opportunity to present their ideas and receive feedback at an early stage of at their scientific work. We have invited young researchers to present their research and established connections with new researchers.
The submitted abstracts and the presentations are in this upload for which permission to publish has been granted.
The Early Career Research Consortium was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2176 ’Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures’, project no. 390893796.
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