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The Uncertain Enterprise: Achieving Adaptation Through Digital Twins and Machine Learning Extended Abstract

Abstract : Systems, such as production plants, logistics networks, IT service companies, and international financial companies, are complex systems operating in highly dynamic environments that need to respond quickly to a variety of change drivers.
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https://hal.inria.fr/hal-03434643
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, November 18, 2021 - 1:38:12 PM
Last modification on : Friday, November 19, 2021 - 11:34:09 AM
Long-term archiving on: : Saturday, February 19, 2022 - 7:02:18 PM

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Tony Clark. The Uncertain Enterprise: Achieving Adaptation Through Digital Twins and Machine Learning Extended Abstract. 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2020), Nov 2020, Riga, Latvia. pp.3-7, ⟨10.1007/978-3-030-63479-7_1⟩. ⟨hal-03434643⟩

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