Tang, Z., Zhuang, D. and Zhang, J., 2025. Evaluation framework for domain-specific digital twin platforms. Scientific Reports, 15, 10544.
Full text available as:
Preview |
PDF (OPEN ACCESS ARTICLE)
s41598-024-82154-8.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 5MB |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1038/s41598-024-82154-8
Abstract
As digital twin (DT) applications continue to proliferate across diverse industries, a noticeable gap exists in the availability of evaluation methods or frameworks to aid in the selection and development of DT platforms, particularly for Domain-Specific applications. To address this gap, this paper proposes a comprehensive evaluation framework for DT platforms, with a focus on Domain-Specific applications. The framework uses the Best-Worst Method and Fuzzy Comprehensive Evaluation method (BWM-FCE) to assess the performance, user experience, and economic effects of DT platforms. The proposed framework is applied to a case study of a high-speed train DT platform and compared with other evaluation methods AHP(Analytic Hierarchy Process) and BWM-SPA (Best-Worst Method-Set Pair Analysis). The results demonstrate the feasibility and effectiveness of the proposed framework and highlight its potential for guiding the development and selection of DT platforms for Domain-Specific applications.
Item Type: | Article |
---|---|
ISSN: | 2045-2322 |
Uncontrolled Keywords: | BWM-FCE; Digital twin platforms; Domain-specific digital twin; Evaluation framework; Fuzzy comprehensive evaluation |
Group: | Faculty of Media & Communication |
ID Code: | 40919 |
Deposited By: | Symplectic RT2 |
Deposited On: | 03 Apr 2025 11:53 |
Last Modified: | 03 Apr 2025 11:53 |
Downloads
Downloads per month over past year
Repository Staff Only - |