A Review of the Roles of Digital Twin in CPS-based Production Systems

Обзор роли цифровых двойников в производственных системах на основе киберфизических систем
Elisa Negri, Luca Fumagalli, Marco Macchi
2017-01-01

Cyber-physical production systemsDigital twinIndustry 4.0Real-time synchronizationSmart manufacturing
The Digital Twin (DT) is one of the main concepts associated to the Industry 4.0 wave. This term is more and more used in industry and research initiatives; however, the scientific literature does not provide a unique definition of this concept. The paper aims at analyzing the definitions of the DT concept in scientific literature, retracing it from the initial conceptualization in the aerospace field, to the most recent interpretations in the manufacturing domain and more specifically in Industry 4.0 and smart manufacturing research. DT provides virtual representations of systems along their lifecycle. Optimizations and decisions making would then rely on the same data that are updated in real-time with the physical system, through synchronization enabled by sensors. The paper also proposes the definition of DT for Industry 4.0 manufacturing, elaborated by the European H2020 project MAYA, as a contribution to the research discussion about DT concept.
1
Digital Twins provide virtual representations of physical systems throughout their lifecycles, supporting optimization and decision-making.
2
Real-time synchronization between physical systems and their virtual representations is enabled by sensor-updated data.
3
The paper contributes a Digital Twin definition for Industry 4.0 manufacturing developed by the European H2020 MAYA project.
4
The paper traces Digital Twin conceptualizations from aerospace origins to manufacturing, Industry 4.0, and smart manufacturing research.
5
The scientific literature lacks a unique, universally accepted definition of the Digital Twin concept.

Digital Twin in CPS-based production systems

Definitions, roles, and lifecycle applications of Digital Twin, including real-time synchronization, optimization, and decision-making in Industry 4.0 manufacturing

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2017-01-01
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Elisa Negri
Luca Fumagalli
Marco Macchi
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