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Gemini Principles-Based Digital Twin Maturity Model for Asset Management

Author

Listed:
  • Long Chen

    (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Xiang Xie

    (Institute for Manufacturing (IfM), Centre for Digital Built Britain, The University of Cambridge, Cambridge CB3 0FA, UK)

  • Qiuchen Lu

    (The Bartlett School of Sustainable Construction, University College London, London WC1E 6BT, UK)

  • Ajith Kumar Parlikad

    (Institute for Manufacturing (IfM), Centre for Digital Built Britain, The University of Cambridge, Cambridge CB3 0FA, UK)

  • Michael Pitt

    (The Bartlett School of Sustainable Construction, University College London, London WC1E 6BT, UK)

  • Jian Yang

    (School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

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.

Suggested Citation

  • Long Chen & Xiang Xie & Qiuchen Lu & Ajith Kumar Parlikad & Michael Pitt & Jian Yang, 2021. "Gemini Principles-Based Digital Twin Maturity Model for Asset Management," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8224-:d:599850
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    Cited by:

    1. João Vieira & João Poças Martins & Nuno Marques de Almeida & Hugo Patrício & João Gomes Morgado, 2022. "Towards Resilient and Sustainable Rail and Road Networks: A Systematic Literature Review on Digital Twins," Sustainability, MDPI, vol. 14(12), pages 1-23, June.

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