Rakiba Rayhana;Ling Bai;Gaozhi Xiao;Min Liao;Zheng Liu
{"title":"Digital Twin Models: Functions, Challenges, and Industry Applications","authors":"Rakiba Rayhana;Ling Bai;Gaozhi Xiao;Min Liao;Zheng Liu","doi":"10.1109/JRFID.2024.3387996","DOIUrl":null,"url":null,"abstract":"In the rapidly evolving landscape of Industry 4.0, digital twins have emerged as a transformative technology across various industrial sectors. This paper presents a comprehensive, in-depth review of digital twin models in terms of the concept and evolution, fundamental components and frameworks, and existing digital twin models based on their functionalities. The paper also discusses how the existing digital twin models are used/adopted in different industries and highlights the existing challenges and potential solutions to address the current issues. This paper aims to provide researchers and industry professionals with a clear insight into the unique benefits and applications of different digital twin models. This review will help to comprehend their significance for specific industrial purposes and foster the advancement of state-of-the-art techniques in this field.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE journal of radio frequency identification","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10498081/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In the rapidly evolving landscape of Industry 4.0, digital twins have emerged as a transformative technology across various industrial sectors. This paper presents a comprehensive, in-depth review of digital twin models in terms of the concept and evolution, fundamental components and frameworks, and existing digital twin models based on their functionalities. The paper also discusses how the existing digital twin models are used/adopted in different industries and highlights the existing challenges and potential solutions to address the current issues. This paper aims to provide researchers and industry professionals with a clear insight into the unique benefits and applications of different digital twin models. This review will help to comprehend their significance for specific industrial purposes and foster the advancement of state-of-the-art techniques in this field.