Stepping into the Industry 4.0: The Digital Twin Approach

Logica Bănică and Cristian Stefan
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Cristian Stefan: Spiru Haret University of Bucharest, Romania

Economics and Applied Informatics, 2019, issue 3, 107-113

Abstract: The digital manufacturing process based on the Digital Twin is a new approach that will forever shape the future of the Industry 4.0. This innovative concept is based on well-known technologies that already power the cloud-based economy: Big Data, Machine Learning and Data Science techniques. We present a Digital Twin model for manufacturing and the stages involved to build it. Currently, many Digital Twin solutions are available on the IT market, which contribute to the successful implementation of the technology in different industries. Our study presents the features and benefits of several dedicated Digital Twin software applications for the current-day business environment. Our case study involves the trial version of the ARIS software platform, that allows the construction of a DT model and we are emphasizing the possibilities offered by this new approach for the manufacturing future.

Keywords: Digital Twin technology; Big Data; Machine learning; Smart manufacturing; Business model (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2019:i:3:p:107-113

DOI: 10.35219/eai1584040962

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