Applied Mathematics Tools in Digital Transformation

Francesco Calabro, Maurizio Ceseri and Roberto Natalini

A chapter in Digital Transformation - Towards New Frontiers and Business Opportunities from IntechOpen

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.

Keywords: data mining; digital twin; modeling simulation optimization (MSO); numerical linear algebra; scientific machine learning (search for similar items in EconPapers)
JEL-codes: M15 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:259765

DOI: 10.5772/intechopen.103806

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