A Bibliometric Analysis of Digital Twin in the Supply Chain

Mathematics, Journal Year: 2023, Volume and Issue: 11(15), P. 3350 - 3350

Published: July 31, 2023

Digital twin is the digital representation of an entity, and it drives Industry 4.0. This paper presents a bibliometric analysis in supply chain to help researchers, industry practitioners, academics understand trend, development, focus areas chain. found several key clusters research, including designing model, integration application quality control, digitalization. In embryonic stage was tested production line with limited optimization. development stage, importance 4.0 observed, as big data, machine learning, Industrial Internet Things, blockchain, edge computing, cloud-based systems complemented models. applied improve sustainability manufacturing logistics. current prosperity high annual publications, recent trends this topic on deep data models, artificial intelligence for also that COVID-19 pandemic drove start research Researchers field are slowly moving towards applying human-centric mass personalization prepare transit 5.0.

Language: Английский

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Towards a Human-Centric Digital Twin for Human–Machine Collaboration: A Review on Enabling Technologies and Methods

Sensors, Journal Year: 2024, Volume and Issue: 24(7), P. 2232 - 2232

Published: March 30, 2024

With the intent to further increase production efficiency while making human centre of processes, human-centric manufacturing focuses on concepts such as digital twins and human-machine collaboration. This paper presents enabling technologies methods facilitate creation applications powered by twins, also from perspective Industry 5.0. It analyses reviews state relevant information resources about for with an emphasis perspective, but their collaborated relationship possibilities applications. Finally, it results review expected future works research in this area.

Language: Английский

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Improving digital twin experience through big data, IoT and social analysis: An architecture and a case study

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24741 - e24741

Published: Jan. 1, 2024

Industries such as construction and business companies are becoming increasingly digitized. The amount of data to be monitored processed has increased significantly since the advent Internet Things massive use sensors. In addition from these sensors, large amounts that require specific handling processing received. Much this is eventually represented in digital twins a monitoring or decision-support tool. paper, we present an architecture improve twin-based experiences need represent information multiple sources. This demonstrated using case twin for office Italian company. implementation leverages Matterport 3D media platform integrates different technologies An evaluation solution also been carried out. results show high user acceptance opening possibilities enrich virtual model with further

Language: Английский

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Digital Twins for Healthcare Using Wearables

Bioengineering, Journal Year: 2024, Volume and Issue: 11(6), P. 606 - 606

Published: June 13, 2024

Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is large part due to their ability update real time physical counterparts and connect across multiple devices. As result, much interest directed towards using the healthcare industry. Recent advancements smart wearable technologies have allowed for utilization human healthcare. Human can be generated biometric data from patient gathered wearables. These then used enhance care through variety means, such as simulated clinical trials, disease prediction, monitoring treatment progression remotely. revolutionary method still its infancy, such, there limited research on wearables generate applications. paper reviews literature pertaining twins, including methods, applications, challenges. The also presents conceptual creating body sensors.

Language: Английский

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Metaverse & Human Digital Twin: Digital Identity, Biometrics, and Privacy in the Future Virtual Worlds

Multimodal Technologies and Interaction, Journal Year: 2024, Volume and Issue: 8(6), P. 48 - 48

Published: June 5, 2024

Driven by technological advances in various fields (AI, 5G, VR, IoT, etc.) together with the emergence of digital twins technologies (HDT, HAL, BIM, etc.), Metaverse has attracted growing attention from scientific and industrial communities. This interest is due to its potential impact on people lives different sectors such as education or medicine. Specific solutions can also increase inclusiveness disabilities that are an impediment a fulfilled life. However, security privacy concerns remain main obstacles development. Particularly, data involved be comprehensive enough granularity build highly detailed copy real world, including Human Digital Twin person. Existing countermeasures largely ineffective lack adaptability specific needs applications. Furthermore, virtual worlds large-scale varied terms hardware implementation, communication interfaces, software, which poses huge interoperability difficulties. paper aims analyse risks opportunities associated adopting replicas humans (HDTs) within challenges related managing identities this context. By examining current landscape, we identify several open currently limit adoption HDTs Metaverse. Additionally, explores range promising methodologies assess their suitability Finally, two example scenarios presented Medical Education fields.

Language: Английский

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Digital twins in the building sector: Implementation and key features

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 608, P. 05004 - 05004

Published: Jan. 1, 2025

The building industry is a major contributor to global CO2 emissions and energy consumption, accounting for 37% of 36% demand in 2020. Traditional construction practices reliance on fossil fuels exacerbate the environmental impact this sector. Despite advancements technology, use continue rise, necessitating innovative solutions enhance sustainability. Digital Twin (DT) technology offers promising approach by creating virtual replicas physical buildings, enabling real-time monitoring, simulation, optimization performance. By integrating sensor data Building Information Models (BIM), DTs provide comprehensive insights into usage, fault detection, predictive maintenance, operational efficiency. This paper explores implementation methodologies, key features, applications sector, highlighting their potential significantly reduce consumption greenhouse gas emissions. Additionally, study addresses benefits advanced technologies such as big data, cloud computing, artificial intelligence (AI), Internet Things (IoT) enhancing BIM capabilities supporting data-driven decision-making. findings demonstrate that can transform asset management practices, improve performance, promote sustainability industry.

Language: Английский

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ErgoTwin: A Digital Twin Model for Monitoring the Postural Risks on Industrial Workers

Studies in computational intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 250 - 262

Published: Jan. 1, 2024

Language: Английский

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Exploring Data for Construction Digital Twins: Building Health and Safety and Progress Monitoring Twins Using the Unreal Gaming Engine

Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2216 - 2216

Published: July 18, 2024

Although digital twins have been established in manufacturing for a long time, they are only more recently making their way into the urban environment and present relatively new concept construction industry. The of twin—a model physical that has real-time two-way link between digital, with virtual changing over time to reflect changes real world—lends itself well continually project. Predictive capabilities built twin also great potential planning—including supply chain management waste disposal as process itself. Underpinning this opportunity is location data, which where something happening when can be used solve wide range problems. In particular, (the power where) integrate diverse data sources types single system, overcoming interoperability challenges known barrier implementation. This paper demonstrates location-enabled context highway project, documenting addressing engineering tasks functionality development explore two case studies—health safety monitoring. We develop demonstrators using from an existing project (building on requirements industry partner Skanska) build make use powers 4D presentation offered by Unreal Gaming Engine CesiumJS mapping, while software expertise sometimes available firms, we specifically what extent no-code approach within deployed context. Our findings provide evidence companies benefits twins, understanding technical skills required achieve these benefits. overall results demonstrate unlock democratise taking them beyond niche experts boardroom.

Language: Английский

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Simulation Power vs. Immersive Capabilities: Enhanced Understanding and Interaction with Digital Twin of a Mechatronic System

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(11), P. 6463 - 6463

Published: May 25, 2023

Automation Studio, a specialised simulation software, offers virtual commissioning capabilities and robust tools for modelling the behaviour performance of pneumatic robot controlled by PLC. Conversely, Unity is versatile platform primarily used creating high-quality 3D games interactive simulations, providing immersive experiences with DTs through mixed-reality environments. This paper provides study that compares contrasts power Studio in context developing digital twins mechatronic system. research explores how these complementary approaches enhance development, validation, understanding, interaction twins. By examining both platforms this context, article valuable insights engineers, developers, researchers looking to create systems, but not only. demonstrates potential leveraging combined improve between real robotic arm manipulator cylindrical type its twin different scenarios, using an OPC approach mirroring. The combination powerful applied science education field systems.

Language: Английский

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A review of drivers and barriers of Digital Twin adoption in building project development processes

Journal of Information Technology in Construction, Journal Year: 2024, Volume and Issue: 29, P. 141 - 178

Published: March 28, 2024

Over the past few years, AECO Industry has undergone a shift toward digital transformation, with growing trend towards adopting innovative technologies such as Digital Twin (DT). DT offers wide range of applications throughout building development process. However, some specific factors impede its widespread adoption in industry. This study aims to systematically review available literature on project process from perspective DT, particular focus predictive simulations, i.e., co-sims. The provides comprehensive overview drivers and barriers through an analysis 147 studies between 2013 2023. research identifies seven external 41 internal drivers, including efficient management monitoring, maintenance, collection visualization real-time data, all which contribute improved decision-making processes reduced operational expenses. Further, nine 31 that These encompass challenges high initial investment cost, scarcity skilled workforce, difficulties data interoperability, resistance change within organization. A key outcome is having identified opportunity exploit developed automotive sector enable seamless integration specialized simulator models processes, resulting collaborative simulations. Thus, we propose concept Building Simulation Identity Card (BSIC) be pursued future would stakeholders address collaboration, cooperation, coordination, communication by creating common vocabulary effectively facilitate building's

Language: Английский

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