Digital Twin Maturity Models: Application to a Case Study

Digital Twins are an emerging concept involving the creation of digital constructs that mirror real-world systems. Assessing Digital Twins' maturity is crucial for unlocking their full potential; however, existing Digital Twins Maturity Models are predominantly qualitative and lack comprehensive quantitative depth. This paper provides an overview of current Maturity Models and applies two distinct approaches: a hybrid qualitative-focused model and a hybrid quantitative-focused model, to two Portuguese enterprises in the textile sector. It provides a critical comparative analysis of the results obtained from these models and introduces a novel metric, the Priority Ratio, designed to reduce subjectivity in assessing the improvement worthiness of Digital Twin components. The PR offers a rigorous, quantifiable ranking of rubrics for improvement, aiding in the prioritization of areas for Digital Twin enhancement.

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Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106529
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
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Digital Twin Maturity Models: Application to a Case Study

Leopoldo Silva, P. M. Teixeira, Francisco J. Duarte, Bruno Dias et al.
Technology Assessment and Management
article

Digital Twin Maturity Models: Application to a Case Study

Leopoldo Silva, P. M. Teixeira, Francisco J. Duarte, Bruno Dias, Ricardo J. Machado, Barbara Mota
article en

Abstract

Digital Twins are an emerging concept involving the creation of digital constructs that mirror real-world systems. Assessing Digital Twins' maturity is crucial for unlocking their full potential; however, existing Digital Twins Maturity Models are predominantly qualitative and lack comprehensive quantitative depth. This paper provides an overview of current Maturity Models and applies two distinct approaches: a hybrid qualitative-focused model and a hybrid quantitative-focused model, to two Portuguese enterprises in the textile sector. It provides a critical comparative analysis of the results obtained from these models and introduces a novel metric, the Priority Ratio, designed to reduce subjectivity in assessing the improvement worthiness of Digital Twin components. The PR offers a rigorous, quantifiable ranking of rubrics for improvement, aiding in the prioritization of areas for Digital Twin enhancement.

Universidade Politécnica do Cávado e do Ave (PT), Novatex (Germany) (DE), University of Minho (PT)
Openalex Percentile: Top 75%
Technology Assessment and Management
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