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Applied Mathematics Tools in Digital Transformation

Capitolo di libro
Data di Pubblicazione:
2023
Abstract:
Digital transformation is a process that companies start with different purposes. Once an enterprise embarks on a digital transformation process it translates all its business processes (or, at least, part of them) into a digital replica. Such a digital replica, the so-called digital twin, can be described by Mathematical Science tools allowing cost reduction on industrial processes, faster time-to-market of new products and, in general, an increase of competitive advantage for the company. Digital twin is a descriptive or predictive model of a given industrial process or product that is a valuable tool for business management, both in planning--because it can give different scenario analysis--and in managing the daily operations; moreover, it permits optimization of product and process operations. We present widespread applied mathematics tools that can help this modeling process, along with some successful cases.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Data Mining;; Digital ; Modeling Simulation Optimization (MSO);; Numerical Linear Algebra;; Scientific Machine Learning;
Elenco autori:
Natalini, Roberto; Ceseri, Maurizio
Autori di Ateneo:
CESERI MAURIZIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/446772
Titolo del libro:
Digital Transformation
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URL

https://doi.org/10.5772/intechopen.103806
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