Shouxuan Wu , Guoxin Wang , Jinzhi Lu , Yan Yan , Yihui Gong , Mengru Dong , Dimitris Kiritsis
{"title":"Digital thread in engineering: Concept, state of art, and enabling framework","authors":"Shouxuan Wu , Guoxin Wang , Jinzhi Lu , Yan Yan , Yihui Gong , Mengru Dong , Dimitris Kiritsis","doi":"10.1016/j.aei.2025.103258","DOIUrl":null,"url":null,"abstract":"<div><div>The digital thread (DT), a new paradigm for the development of complex engineering systems, has garnered widespread attention in recent years. The DT serves as a key driver and game-changer for the digital transformation of engineering systems due to its advantages in promoting the collaboration of stakeholders to aid decision-making. This study provides a systematic and quantitative survey of publications about the DT. By using bibliometric analysis tools, current progress on the DT in the engineering domain is visually identified. We analyzed the distribution of research teams, professional publishing sources, current research topics, and future research trends, revealing that current research of DT emphasizes the features of lifecycle, integration, interoperability, and decision-making inspired by the data-information-knowledge-wisdom (DIKW) model. Through a systematic review of relevant publications from the perspective of these key features, we propose an enabling framework of the DT, including the concept, reference architecture, and “3I” enabling technologies (integration; interoperability; and intelligent decision technologies). Finally, we outline the current challenges faced by the DT in the engineering domain, including issues about integration challenges, professional workforce, and cost analysis. This study aims to facilitate a more comprehensive understanding of the current states and research directions of the DT in the engineering domain.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103258"},"PeriodicalIF":8.0000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Informatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S147403462500151X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The digital thread (DT), a new paradigm for the development of complex engineering systems, has garnered widespread attention in recent years. The DT serves as a key driver and game-changer for the digital transformation of engineering systems due to its advantages in promoting the collaboration of stakeholders to aid decision-making. This study provides a systematic and quantitative survey of publications about the DT. By using bibliometric analysis tools, current progress on the DT in the engineering domain is visually identified. We analyzed the distribution of research teams, professional publishing sources, current research topics, and future research trends, revealing that current research of DT emphasizes the features of lifecycle, integration, interoperability, and decision-making inspired by the data-information-knowledge-wisdom (DIKW) model. Through a systematic review of relevant publications from the perspective of these key features, we propose an enabling framework of the DT, including the concept, reference architecture, and “3I” enabling technologies (integration; interoperability; and intelligent decision technologies). Finally, we outline the current challenges faced by the DT in the engineering domain, including issues about integration challenges, professional workforce, and cost analysis. This study aims to facilitate a more comprehensive understanding of the current states and research directions of the DT in the engineering domain.
期刊介绍:
Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.