Digital Twins: A Maturity Model for Their Classification and Evaluation

Цифровые двойники: модель зрелости для их классификации и оценки
Michael Lütjen, Michael Freitag, Klaus‐Dieter Thoben, Jannicke Baalsrud Hauge, Jan-Frederik Uhlenkamp, Eike Broda
2022-01-01

Digital TwinsIndustry 4.0PRISMA systematic literature reviewmaturity modelproduction and logistics
Digital Twins represent a powerful tool for transforming production and logistics towards Industry 4.0. They mirror physical assets in the digital world, enriching them with additional capabilities and features such as decision-making or lifecycle management. Due to the diverse possibilities associated with the Digital Twin, their design and implementation are also wide-ranging. This paper aims to contribute to the formalization and standardization of the description of Digital Twins. It presents a method for evaluating them through their lifecycle, from design to operation. The paper is based on an overview of their potential functionalities and properties with ranked stages of development. This method allows for an application-specific evaluation of Digital Twins and describes how they can be improved to suit the application better. The maturity model development follows the procedure for developing maturity models for IT management. Relevant capabilities and features were identified with a systematic literature review following the PRISMA guidelines. The results of this review were ranked and categorized and constitute the core of the maturity model, which was validated on five use-cases from different domains in production and logistics. The maturity model assesses Digita Twins in seven categories (context, data, computing capabilities, model, integration, control, human-machine interface) with 31 ranked characteristics. It evaluates existing solutions for potential improvements for a given application or the transfer to a new use-case. The resulting method and a supplementary web service present a generalized model for the evaluation of Digital Twins. Based on a description of a potential application, this is the first step towards a systematic evaluation, improving the structured development of such applications
1
A PRISMA-based systematic literature review identified, ranked, and categorized Digital Twin capabilities and features underlying the maturity model.
2
The framework contains 31 ranked characteristics and supports application-specific assessment, improvement planning, and transfer of existing Digital Twins to new use cases.
3
The model evaluates Digital Twins across seven categories: context, data, computing capabilities, model, integration, control, and human-machine interface.
4
The paper introduces a maturity model for formalizing, classifying, and evaluating Digital Twins throughout their lifecycle from design to operation.
5
Validation on five production and logistics use cases, together with a supplementary web service, demonstrates a generalized approach for systematic Digital Twin evaluation.

Digital Twins for production and logistics applications

Their maturity-based classification and lifecycle evaluation across context, data, computing capabilities, models, integration, control, and human-machine interfaces

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Publication Date
2022-01-01
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Authors
Michael Lütjen
Michael Freitag
Klaus‐Dieter Thoben
Jannicke Baalsrud Hauge
Jan-Frederik Uhlenkamp
Eike Broda
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