Evaluation framework for domain-specific digital twin platforms

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.