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Digital Twin: Generalization, characterization and implementation

delete2021-06-01
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PRE
AI
E
Eric VanDerHorn
S
Sankaran Mahadevan *
DOI:10.1016/j.dss.2021.113524delete
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Abstract

Abstract

En 中文
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.
Keywords:
Digital Twin
Decision making
Virtual representation
Model updating
Information fusion

Journal

Decision Support Systems cover
Decision Support Systems
IF:
6.8
Papers:
3.8K
Citations:
1.5W

Organization

V
vanderbilt university
Scholars:
5.1W
Papers: 4.1W
Citations: 59
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