4.7 Article

Digital Twin: Generalization, characterization and implementation

期刊

DECISION SUPPORT SYSTEMS
卷 145, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.dss.2021.113524

关键词

Digital Twin; Decision making; Virtual representation; Model updating; Information fusion

资金

  1. American Bureau of Shipping (ABS)

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Digital Twin is a promising digital technology for supporting digital transformation and decision making in multiple industries. However, the variety of definitions calls for a consolidated definition and established characteristics to distinguish Digital Twin from other technologies.
Digital Twin is one of the promising digital technologies being developed at present to support digital transformation and decision making in multiple industries. While the concept of a Digital Twin is nearly 20 years old, it continues to evolve as it expands to new industries and use cases. This has resulted in a continually increasing variety of definitions that threatens to dilute the concept and lead to ineffective implementations of the technology. There is a need for a consolidated and generalized definition, with clearly established characteristics to distinguish what constitutes a Digital Twin and what does not. This paper reviews 46 Digital Twin definitions given in the literature over the past ten years to propose a generalized definition that encompasses the breadth of options available and provides a detailed characterization which includes criteria to distinguish the Digital Twin from other digital technologies. Next, a process and considerations for the implementation of Digital Twins is presented through a case study. Digital Twin future needs and opportunities are also outlined.

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