Gemini principles-based digital twin maturity model for asset management.pdf (1.23 MB)
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Gemini principles-based digital twin maturity model for asset management

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journal contribution
posted on 27.05.2022, 10:23 by Long ChenLong Chen, Xiang Xie, Qiuchen Lu, Ajith Kumar Parlikad, Michael Pitt, Jian Yang
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.

Funding

This research has received support from the Centre for Digital Built Britain at the University of Cambridge which is within the Construction Innovation Hub and is funded by UK Innovation Hub and is funded by UK Research and Innovation through the Industrial Strategy Fund.

History

School

  • Architecture, Building and Civil Engineering

Published in

Sustainability

Volume

13

Issue

15

Publisher

MDPI AG

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

21/05/2021

Publication date

2021-07-23

Copyright date

2021

eISSN

2071-1050

Language

en

Depositor

Dr Long Chen. Deposit date: 26 May 2022

Article number

8224

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