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Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.22394/2410-132X-2020-6-1-2-62-74

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Применение методологии уровней готовности для бережливой разработки цифровых двойников сложных инженерных систем

Application of the methodology of readiness levels for the lean development of digital twins of complex engineering systems
[journal article]

Sartori, Andrey V.
Pershukov, V. A.
Mosunova, N. A.
Mantsevich, N. M.

Abstract

Due to the complexity of full-scale object modeling and the need to use advanced computing technologies, the digital twin development process may require significant time, financial and human resources. Therefore, it is important for lean management of digital twin development to classify them by fu... view more

Due to the complexity of full-scale object modeling and the need to use advanced computing technologies, the digital twin development process may require significant time, financial and human resources. Therefore, it is important for lean management of digital twin development to classify them by functionality, determine the current technology readiness level (TRL), and monitor its dynamics over short periods of time. A description of the life cycle stages of digital twins virtual models and adapted conditions to achieve technology readiness level are proposed. The use of the formalized TRL metric for detailed project planning by specific results reduces the development time, costs, and improves the quality of the results.... view less

Classification
Natural Science and Engineering, Applied Sciences

Free Keywords
digital twin; TRL; technological readiness level; virtual model; critical element; verification and validation; life cycle

Document language
Russian

Publication Year
2020

Page/Pages
p. 62-74

Journal
Ekonomika Nauki / Economics of Science, 6 (2020) 1-2

ISSN
2410-132X

Status
Published Version; reviewed

Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.