Evaluation framework for domain-specific digital twin platforms
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.
Authors
- Jianjun Zhang (ORCID: https://orcid.org/0000-0002-7069-5771)
- Zhao Tang
- Dayuan Zhuang
Institutions
- Southwest Jiaotong University (CN)
- Bournemouth University (GB)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1038/s41598-024-82154-8
- Citations
- 9
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 11.18
Funders
- National Natural Science Foundation of China