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Title:

Disruption Evaluation in End-to-End Semiconductor Supply Chains via Interpretable Machine Learning

Document type:
Konferenzbeitrag
Author(s):
Jaenichen, F.-M.; Liepold, C. J.; Ismail, A.; Schiffer, M.; Ehm, H.
Non-TUM Co-author(s):
ja
Cooperation:
national
Intellectual Contribution:
Contribution to Practice
Book / Congress title:
10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022
Congress (additional information):
Nantes, France
Year:
2022
Month:
Jun
Fulltext / DOI:
doi:doi.org/10.1016/j.ifacol.2022.09.479
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Commissioned:
not commissioned
Technology:
Ja
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Nein
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