Abstract
Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.
Highlights
With the foundation of digital twin principles provided by Centre for Digital Built Britain (CDBB), the assessment rubrics of each dimension were selected through analysing limitations and advantages of eight practical cases and comprehensive literature review
The diffusion, implementation, further development, and maturation of digital twin for asset management should be properly guided by a well-designed digital twin maturity model
Based on existing maturity models, practical projects, digital twins definitions, and Gemini Principles provided by CDBB, this study developed a digital twin maturity model for asset management in a hierarchical and innovative structure, which is able to provide a comprehensive and quantitative maturity evaluation within a project or cross-comparison with other projects
Summary
A number of technologies have matured and are ready to extend to industrial applications, such as Building Information
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