Introduction of a comprehensive Structure Model for the Digital Twin in Manufacturing

Lechler, Tobias; Fuchs, Jonathan; Sjarov, Martin; Brossog, Matthias; Selmaier, Andreas; Faltus, Florian; Donhauser, Toni; Franke, Jörg

doi:10.1109/etfa46521.2020.9212030

Cited by 24 publications

(6 citation statements)

References 39 publications

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“…"Feature(s) of the physical entity" refers to the characteristic of the physical entity that is of interest for the Digital Twin concept application. To some degree, this is referred to in the Domain dimension by Lechler et al (2020) [8]. We deliberately separated this dimension from the scope of the physical entity to put focus on the constraint, use-casebased characteristic of Digital Twin applications.…”

Section: Discussionmentioning

confidence: 99%

“…Chakshu et al (2019) [98] refer to this aspect as semiactive Digital Twin. The communication dimension is referred to in other models as data acquisition [87], data integration level [86], connection [51], timing [8], or connectivity modes and update frequency [49]. The scope of the virtual entity is also described as Digital model richness, Simulation capabilities, and CPS intelligence [49], purpose [51], data processing [87], application level [8], and is considered in many of the Digital Twin terms in the level of sophistication or maturity.…”

Section: Discussionmentioning

confidence: 99%

“…Further application domains so far addressed by research are for example Construction [37], [52]- [54], Healthcare [55]- [60], Oil and Gas Industry [61]- [65], and Logistics [19], [66]- [68]. Nevertheless, three main parts have been defined as essential to the Digital Twin concept in numerous research works [3], [6], [12], [69], [70] and are also referred to as the lowest common denominator of the Digital Twin concept in research [8], [9]. Michael Grieves illustrated them in 2003, and then again in 2015 (see Figure 1).…”

Section: B Definitions Of Digital Twinmentioning

confidence: 99%

“…Data acquisition can occur from random data, historical data, or in real-time. The data processing can be executed through statistical, simulation, or artificial intelligence techniques.Lechler et al (2020)[8] propose the Digital Twin Structure Model, which aims to enable and facilitate Digital Twin application classifications. In their model, the Digital Twin is located in the executive layer, addressing the entire life cycle and covers products, processes, and resources.…”

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confidence: 99%

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5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Newrzella¹,

Franklin

Haider

2021

IEEE Access

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A Digital Twin is an auspicious cross-industry concept in the era of digitalization, which promises a wide range of benefits such as efficiency improvements, predictions of future opportunities and challenges, and respective recommendations. At present, a variety of definitions and terms exist, causing increasing confusion among practitioners and users. Here we address this need for consolidation with a holistic view of the Digital Twin concept across industries. We analyze classification models and Digital Twin terms in academia and industry in order to propose a 5-dimension cross-industry Digital Twin applications model. This model, based on the core three-part Digital Twin concept introduced by Grieves in 2002, enables ease of understanding and cross-industry classification and development of applications within the concept of the Digital Twin. The proposed model consists of the dimensions scope of the physical entity, feature(s) of the physical entity, form of communication, scope of the virtual entity, and user-specific outcome/value created.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: B Definitions Of Digital Twinmentioning

confidence: 99%

mentioning

confidence: 99%

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5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Newrzella¹,

Franklin

Haider

2021

IEEE Access

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“…The construction of the DT model has been widely studied in different applications, such as manufacturing [71], product quality monitoring [72], etc. The pilot methods and techniques to build DT models are presented in [71], [73]. Digital simulation models of different service levels can be built in the DT space.…”

Section: A Dt Modeling/updatingmentioning

confidence: 99%

Survey on Digital Twin Edge Networks (DITEN) Toward 6G

Tang

Chen

Rodrigues

et al. 2022

IEEE Open J. Commun. Soc.

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The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE) and revolutionize customer services and applications to a fully intelligent and autonomous system. To achieve this, the digital twin edge network (DITEN) is proposed to combine mobile/multi-access edge computing (MEC) and digital twin (DT), thereby improving the network performance such as throughput and security, and reducing the cost of communication, computation, and caching. In DITENs, the network status can be continuously monitored, and based on the obtained network states, the networking schemes, such as routing and resource management, can be studied in the established DITENs from a centralized perspective. In this survey, we present a comprehensive overview of DITEN for 6G. First, we present the fundamental aspects of DITEN, including concept, framework, and potential. Second, a comprehensive design of DITEN is devised, including the DT modeling/updating, DT deployment, key issues, and enabling technologies. Then, the typical applications of DITEN towards 6G are provided, including the Internet of Things (IoT), vehicular network, spaceair-groud integrated network (SAGIN), healthcare, wireless systems, and other applications, along with the design of DITEN in each application, such as DT modeling, DT association, incentive mechanisms, and so on. Finally, challenges and open issues are discussed.

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Towards Knowledge Graphs for Industrial End-To-End Data Integration: Technologies, Architectures and Potentials

Sjarov

Franke

2021

Lecture Notes in Production Engineering

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Introduction of a comprehensive Structure Model for the Digital Twin in Manufacturing

Cited by 24 publications

References 39 publications

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Survey on Digital Twin Edge Networks (DITEN) Toward 6G

Towards Knowledge Graphs for Industrial End-To-End Data Integration: Technologies, Architectures and Potentials

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