TwinVax: Leveraging Digital Twin Simulation to Monitor Vaccine Storage and Population Immunisation DOI
Leonardo El-Warrak, Cláudio Miceli de Farias, Virginia Costa

и другие.

Опубликована: Апрель 16, 2025

Abstract Background This paper presents the application of simulation to assess functionality a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, cloud computing, adheres ISO 23247 standard. Methods system modelling carried out using Unified Modelling Language (UML) define workflows processes involved, including vaccine storage temperature monitoring population vaccination status tracking. structured into four domains: observable elements/entities, data collection device control, digital twin platform, user domain. To validate system's performance feasibility, simulations are conducted SimPy, enabling evaluation its response under various operational scenarios. Results facilitates storage, monitoring, visualisation related thermal conditions ice-lined refrigerators (ILR) boxes. Additionally, it analyses patient coverage official schedule. key benefits include optimising conditions, reducing dose wastage, continuously coverage, supporting strategic planning. Conclusion discusses future impacts this approach management scalability diverse public health contexts. By leveraging advanced technologies simulation, framework aims improve overall impact immunization services.

Язык: Английский

A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions DOI Open Access
David Alfaro-Viquez, Mauricio-Andrés Zamora-Hernández,

Michael Fernandez-Vega

и другие.

Electronics, Год журнала: 2025, Номер 14(4), С. 646 - 646

Опубликована: Фев. 7, 2025

Digital twins (DTs) represent a transformative technology in manufacturing, facilitating significant advancements monitoring, simulation, and optimization. This paper offers an extensive bibliographic review of AI-Based DT applications, categorized into three principal dimensions: operator, process, product. The operator dimension focuses on enhancing safety ergonomics through intelligent assistance, utilizing real-time monitoring artificial intelligence, notably human–robot collaboration contexts. process application concerns itself with optimizing production flows, identifying bottlenecks, dynamically reconfiguring systems predictive models simulations. Lastly, the product emphasizes applications focused improvements design quality, employing lifecycle historical data to satisfy evolving market requirements. categorization provides structured framework for analyzing specific capabilities trends DTs, while also knowledge gaps contemporary research. highlights key challenges technological interoperability, integration, high implementation costs emphasizing how digital twins, supported by AI, can drive transition toward sustainable, human-centered manufacturing line Industry 5.0. findings provide valuable insights advancing state art exploring future opportunities twin applications.

Язык: Английский

Процитировано

1
Synergistic integration of digital twins and zero energy buildings for climate change mitigation in sustainable smart cities: A systematic review and novel framework DOI Creative Commons

Simon Elias Bibri,

Jeffrey Huang, Osama Omar

и другие.

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115484 - 115484

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
REAL-WORLD APPLICATIONS OF DIGITAL TWIN TECHNOLOGY IN PERFORMANCE MANAGEMENT: LESSONS FROM GLOBAL HEALTHCARE CASE STUDIES DOI Open Access

Chouguiat Belmallem Saliha,

Koudoua Ferhati

International Journal of Innovative Technologies in Social Science, Год журнала: 2025, Номер 1(45)

Опубликована: Март 17, 2025

Digital twin technology is revolutionizing healthcare by providing a real-time digital replica of hospital systems, enabling better decision-making and performance optimization. This study examines the implementation models in through an analysis four real-world case studies: The Moorfields Eye Hospital (UK), Singapore General Hospital, Duke Health (USA), Karolinska University (Sweden). By reviewing these cases, highlights their impact on operational efficiency, resource utilization, patient care outcomes. Challenges faced during key lessons learned are discussed to guide future adoption healthcare.

Язык: Английский

Процитировано

0
Advanced Electronic Controller Circuits Enabling Production Processes and AI-driven KM in Industry 5.0 DOI
Alessandro Massaro, Francesco Santarsiero, Giovanni Schiuma

и другие.

Journal of Industrial Information Integration, Год журнала: 2025, Номер unknown, С. 100841 - 100841

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Digital twin-driven intelligent spinning technique for curved surface parts DOI
Pengfei Gao,

Xinshun Li,

Xinggang Yan

и другие.

Journal of Industrial Information Integration, Год журнала: 2025, Номер unknown, С. 100848 - 100848

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
TwinVax: Leveraging Digital Twin Simulation to Monitor Vaccine Storage and Population Immunisation DOI
Leonardo El-Warrak, Cláudio Miceli de Farias, Virginia Costa

и другие.

Опубликована: Апрель 16, 2025

Abstract Background This paper presents the application of simulation to assess functionality a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, cloud computing, adheres ISO 23247 standard. Methods system modelling carried out using Unified Modelling Language (UML) define workflows processes involved, including vaccine storage temperature monitoring population vaccination status tracking. structured into four domains: observable elements/entities, data collection device control, digital twin platform, user domain. To validate system's performance feasibility, simulations are conducted SimPy, enabling evaluation its response under various operational scenarios. Results facilitates storage, monitoring, visualisation related thermal conditions ice-lined refrigerators (ILR) boxes. Additionally, it analyses patient coverage official schedule. key benefits include optimising conditions, reducing dose wastage, continuously coverage, supporting strategic planning. Conclusion discusses future impacts this approach management scalability diverse public health contexts. By leveraging advanced technologies simulation, framework aims improve overall impact immunization services.

Язык: Английский

Процитировано

0