The Uncertain Enterprise: Achieving Adaptation Through Digital Twins and Machine Learning Extended Abstract - The Practice of Enterprise Modeling Access content directly
Conference Papers Year : 2020

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

Tony Clark
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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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hal-03434643 , version 1 (18-11-2021)

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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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