The Overview of Digital Twins in Industry 4.0: Managing the Whole Ecosystem

Monsone, Cristina; Mercier‐Laurent, Eunika; Jósvai, János

doi:10.5220/0008348202710276

Cited by 14 publications

(10 citation statements)

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“…2) opined that it may take another decade to streamline the required technical solutions to digitalize the built-environment industry effectively through digital twins. This is also in agreement with the literature findings, where interoperability was highlighted by Monsone et al [58] and Qi et al [48] as a key challenge for the future development of digital twins. With the absence of common standards, digital twin application for FM operations would remain ineffective according to Re Cecconi et al [37] who also agree that this is a fundamental aspect for the successful implementation of digital twins in the built environment.…”

Section: Theme 3: Implementation Challengessupporting

confidence: 93%

“…The integration of various models with different parametric values, spatial values, and time scales into the digital twin remains a challenge [58]. This hinders the ability to present virtual models that provide a realistic and objective description of the physical assets [34] Qi et al [48] pointed out that traditional databases are not able to cope with the increasing heterogeneity and volume of digital twin data received from multiple sources.…”

Section: Diversity In Source Systemsmentioning

confidence: 99%

“…In addition to the security challenge, the issue of ownership and the sharing of data arose with three participants who suggested this issue will be particularly significant on the client side, as clients would require an understanding as to what data and how data can be shared in a digital twin. These issues were highlighted by Brozohvsky et al [54] and Monsone et al [58], who reported that privacy and the ownership of data are the primary issues with regard to the adoption of digital twins in the industry.…”

Section: Theme 3: Implementation Challengesmentioning

confidence: 99%

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Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges

et al. 2022

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The concept of digital twins is proposed as a new technology-led advancement to support the processes of the design, construction, and operation of built assets. Commonalities between the emerging definitions of digital twins describe them as digital or cyber environments that are bidirectionally-linked to their physical or real-life replica to enable simulation and data-centric decision making. Studies have started to investigate their role in the digitalization of asset delivery, including the management of built assets at different levels within the building and infrastructure sectors. However, questions persist regarding their actual applications and implementation challenges, including their integration with other digital technologies (i.e., building information modeling, virtual and augmented reality, Internet of Things, artificial intelligence, and cloud computing). Within the built environment context, this study seeks to analyze the definitions and characteristics of a digital twin, its interactions with other digital technologies used in built asset delivery and operation, and its applications and challenges. To achieve this aim, the research utilizes a thorough literature review and semi-structured interviews with ten industry experts. The literature review explores the merits and the relevance of digital twins relative to existing digital technologies and highlights potential applications and challenges for their implementation. The data from the semi-structured interviews are classified into five themes: definitions and enablers of digital twins, applications and benefits, implementation challenges, existing practical applications, and future development. The findings provide a point of departure for future research aimed at clarifying the relationship between digital twins and other digital technologies and their key implementation challenges.

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Section: Theme 3: Implementation Challengessupporting

confidence: 93%

Section: Diversity In Source Systemsmentioning

confidence: 99%

Section: Theme 3: Implementation Challengesmentioning

confidence: 99%

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Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges

et al. 2022

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“…Scientists have also analyzed the terminology and framework of digital twin, smart manufacturing and Industry 4.0, showing, therefore, that the standards are only now just being established. For example, the International Organization for Standardization (ISO) is currently developing: The concept and terminology (IEC AWI 30173); The manufacturing framework (ISO/FDIS 23247-1); The framework for health and well-being in smart cities (IEEE 11073) [ 88 , 89 ]. …”

Section: Discussionmentioning

confidence: 99%

Digital Twin and Smart Manufacturing in Industries: A Bibliometric Analysis with a Focus on Industry 4.0

Moiceanu

Paraschiv

2022

Sensors

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Technology is being used in our society in all areas, mostly in industry, and generates the most interest in current research since it is a part of day-to-day activities. The main objective of this research was to use bibliometric analysis to analyze the production of scientific literature on digital twin and smart manufacturing with a focus on Industry 4.0, using information from the Web of Science database. To conduct the study, the keywords necessary for data selection were chosen, and then analyzed based on different variables such as author productivity, citations, most productive institutions, publishers with the highest number of publications, scientific document classification, countries with the highest number of publications, and a network analysis using VOSviewer. The results showed Tao F. and Soderberg R. were the main authors, that China was the country with the highest knowledge, and Elsevier was the main publisher. Although the subject has only been in publication for five years, digital twin will constitute an important part of future technologies due to its rapid ascension, proof of this being its yearly productivity (2020 producing the highest number of materials). Papers published in 2021 were excluded, but the difference between the numbers of materials found and those analyzed shows that 2021 will be even more productive than 2020.

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“…Data security [105] has been identified as the primary issue in the adoption of DTs in industry 4.0 [106] and the infrastructure [21]. Blockchain and edge computing technologies were highlighted as promising solutions for this issue.…”

Section: Knowledge Topicsmentioning

confidence: 99%

Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

Naderi

Shojaei

2022

IEEE Access

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Digital Twins (DTs) have received considerable attention as an emerging technology in recent years, which can offer advantages for improving the performance of infrastructures. However, the inherent complexity of infrastructures alongside the nascent nature of digital twins in the Architecture, Engineering, and Construction (AEC) industry hinders the adoption of infrastructure digital twins (IDTs). The lack of common understanding among different stakeholders has been noted as one of the most significant roadblocks to implementing IDTs in practice. This study is a quantitative attempt to address this gap by providing different stakeholders with a multi-layer knowledge map by analyzing 139 identified IDTs in three levels of bibliometric and social network analyses. First, knowledge themes are extracted from the most-frequent journals to provide an overview of IDT knowledge. Second, a combination of co-citation analysis and social network theories illustrated six clusters of IDT knowledge and their relationships. Third, the co-occurrence network of keywords revealed where, why, and what enabling technologies have been employed so far. These findings were synthesized into a three-layer knowledge map to not only illustrate the maturity level and evolution potentials of each layer but also serve as a hierarchical strategic plan recommending future direction to decision-makers, researchers, and practitioners.INDEX TERMS Bibliometric analysis, civil infrastructures, digital twins, knowledge map, systematic review.

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The Overview of Digital Twins in Industry 4.0: Managing the Whole Ecosystem

Cited by 14 publications

References 0 publications

Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges

Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges

Digital Twin and Smart Manufacturing in Industries: A Bibliometric Analysis with a Focus on Industry 4.0

Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

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