Review
Computer Science, Interdisciplinary Applications
Concetta Semeraro, Mario Lezoche, Herve Panetto, Michele Dassisti
Summary: Manufacturing enterprises are facing the challenge of aligning themselves with new information technologies (IT) and responding to variable market demand. The key enabler of the IT revolution towards Smart Manufacturing is the digital twin (DT), which constantly synchronizes a virtual image with the real operating scenario to provide sound information for making decisions. This study aims to provide an overview of the main components of DT, their features, and interaction problems, while tracing ongoing research and technical challenges in conceiving and building DTs in different application domains and related technologies.
COMPUTERS IN INDUSTRY
(2021)
Review
Engineering, Industrial
Fei Tao, Bin Xiao, Qinglin Qi, Jiangfeng Cheng, Ping Ji
Summary: This paper provides a systematic research on the current studies of digital twin modeling and conducts a comprehensive and insightful analysis of digital twin models. It also investigates and summarizes the enabling technologies and tools for digital twin modeling and presents observations and future research recommendations.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Tripti Rathee, Parvinder Singh
Summary: This paper is a systematic literature review on Identity Management (IdM) in blockchain. It focuses on reviewing the challenges faced in IdM over the years and how blockchain has addressed these challenges. The paper provides insights into the research trends, challenges, frameworks, initiatives, consensus algorithms, and research projects in the field of IdM using blockchain.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Review
Engineering, Industrial
Tiep Nguyen, Quang Huy Duong, Truong Van Nguyen, You Zhu, Li Zhou
Summary: This paper presents a bibliometric analysis of the research status in the PI/DT-SCM field, identifying 10 key research streams and discussing the research frontiers and emerging trends. Several future research directions are suggested, including the business ecosystem, sustainability development, and SC downstream management.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Education & Educational Research
Silvia Farias-Gaytan, Ignacio Aguaded, Maria-Soledad Ramirez-Montoya
Summary: This study analyzed digital transformation and media literacy publications impacting higher education, revealing the research types, topics, and methods involved. The majority of articles were from the Scopus database, employing qualitative and quantitative empirical research methods, with digital pedagogies being the most mentioned topic.
EDUCATION AND INFORMATION TECHNOLOGIES
(2022)
Review
Construction & Building Technology
Iryna Osadcha, Andrius Jurelionis, Paris Fokaides
Summary: The use of Digital Twin (DT) is becoming increasingly widespread in the construction industry. This article provides an overview of current research on updating the geometry of DT in construction and identifies gaps and challenges for future research. The study highlights the importance of updating geometry data in DT to improve data quality and maximize the benefits of technology in the construction sector.
JOURNAL OF BUILDING ENGINEERING
(2023)
Review
Business
Cong Cheng, Limin Wang, Hongming Xie, Lulu Yan
Summary: A systematic literature review and bibliometric analysis of DI literature can provide a deeper understanding of DI research, assisting organizations in adapting to digital innovation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Construction & Building Technology
Juan Moyano, Eva Carreno, Juan E. Nieto-Julian, Ignacio Gil-Arizon, Silvana Bruno
Summary: This paper presents a systematic approach for the execution of heritage conservation projects. It covers various stages including data acquisition, model construction, data organization, and communication, aiming to provide a validated digital twin for the life-cycle management of architectural elements.
AUTOMATION IN CONSTRUCTION
(2022)
Review
Business
Melissa Bejjani, Lutz Goecke, Matthias Menter
Summary: The concept of digital entrepreneurial ecosystems (DEEs) has been developed to analyze entrepreneurship in the digital age. However, research on DEEs is still fragmented and there is ambiguity in this field. To create a comprehensive understanding of DEEs, we conducted a systematic literature review and proposed a conceptual framework that presents a set of characteristics corresponding to principal ecosystem attributes. Our framework offers an inclusive picture of different types of DEEs and suggests potential avenues for future research.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Computer Science, Artificial Intelligence
Jiqun Song, Shimin Liu, Tenglong Ma, Yicheng Sun, Fei Tao, Jinsong Bao
Summary: This paper proposes a rapid transferable modeling approach for digital twin models, aiming to improve the modeling efficiency and resilience of digital twin models by reusing the multidimensional information of existing models. The approach provides a unified mapping and digital representation of physical entities based on information metamodels, and offers transferable approaches for the geometry dimension, behavior dimension, and algorithm dimension.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Wenjie Jia, Wei Wang, Zhenzu Zhang
Summary: The digital twin has gained widespread attention in recent years as a key tool for digitalization and intelligence, but has become increasingly complex due to the expanding needs for multi-scale and multi-scenario simulations in reality. This paper proposes a novel modeling method for complex digital twins based on standardized processing of model division and assembly, enabling the construction of intricate digital twin models with effective elements in specific scales and scenarios through information fusion, multi-scale association, and multi-scenario iterations. This approach also allows for rapid development of digital twins through component and code reuse.
ADVANCED ENGINEERING INFORMATICS
(2022)
Review
Urban Studies
Laryssa Tarachucky, Jamile Sabatini-Marques, Tan Yigitcanlar, Maria Jose Baldessar, Surabhi Pancholi
Summary: This paper investigates the applicability of emerging location-based and mapping technologies in urban environments, aiming to develop a clearer understanding by identifying and categorizing key drivers. The study findings reveal three types of mapping approaches linked to two modes of use.
Article
Construction & Building Technology
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Tosin Famakinwa, Keivan Bamdad
Summary: Digital twin (DT) is gaining increasing attention for its ability to present digital replicas of existing assets, processes, and systems. Using artificial intelligence, machine learning, and data analytics, DT can create real-time simulation models that learn and update from multiple data sources to predict the current and future conditions of their physical counterparts. This study identifies and classifies the drivers for DT adoption in the construction industry (CI) through a systematic literature review of 58 relevant research papers. The developed conceptual framework, based on 50 identified drivers, serves as a guide to enhance the successful adoption of DT in the CI.
Article
Computer Science, Artificial Intelligence
Jinfeng Liu, Xiaojian Wen, Honggen Zhou, Sushan Sheng, Peng Zhao, Xiaojun Liu, Chao Kang, Yu Chen
Summary: This paper presents a multidimensional modeling approach for machining processes using Digital Twin technology, which supports the design and execution phases of intelligent machining. The effectiveness of the applied framework and the proposed method is verified through testing key components of diesel engines.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Xi Wang, Zongqian Wu, Ying Xiong, Qiao Li, Xiaoming Tao
Summary: This study proposed a high-accuracy parametric modeling approach for human limbs. By utilizing 3D scans and non-uniform rational B-splines method, a new parametric model for human calves was developed. Error analysis showed that this model achieved high efficiency and accuracy, making it suitable for remote customized design and compression garment design.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Architecture
Marcela Noronha, Gabriela Celani, Jose Pinto Duarte
Summary: This paper introduces an evaluation methodology based on geometry-based indicators and new metrics for assessing the effects of street retrofitting. The methodology can be used independently or in conjunction with other modules, and demonstrates the potential of street retrofitting interventions to improve mobility for stakeholders in urban developments.
NEXUS NETWORK JOURNAL
(2022)
Proceedings Paper
Architecture
Marcela Noronha Pinto de Oliveira e Sousa, Jose Duarte, Gabriela Celani
ECAADE SIGRADI 2019: ARCHITECTURE IN THE AGE OF THE 4TH INDUSTRIAL REVOLUTION, VOLUME 3
(2019)
Proceedings Paper
Architecture
Marcela Noronha Pinto de Oliveira e Sousa, Gabriela Celani
COMPUTER-AIDED ARCHITECTURAL DESIGN: HELLO, CULTURE, CAAD FUTURES 2019
(2019)
