A digital twin modeling approach for smart manufacturing combined with the UNISON framework

被引:23
|
作者
Wang, Jinfeng [1 ]
Zhang, Luyao [2 ,3 ]
Lin, Kuo-Yi [4 ]
Feng, Lijie [1 ]
Zhang, Ke [5 ]
机构
[1] Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai 201306, Peoples R China
[2] Shanghai Maritime Univ, Sch Econ & Management, Shanghai 201306, Peoples R China
[3] Henan Univ Econ & Law, Zhengzhou 450016, Peoples R China
[4] Guilin Univ Elect Technol, Sch Business, Guilin 541004, Peoples R China
[5] Zhengzhou Univ, Sch Management Engn, Zhengzhou 450001, Peoples R China
基金
中国国家自然科学基金;
关键词
Digital twin; UNISON framework; Five-dimensional digital twin model; New energy power battery; Smart Manufacturing; INDUSTRY; 4.0; CHALLENGES;
D O I
10.1016/j.cie.2022.108262
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the in-depth development of industry 4.0, digitalization and intellectualization have become a broad consensus, especially the digital twin. As a cutting-edge technology, the digital twin is revolutionizing the industry, but its potential is far from being tapped. Data and models, which have been proven in previous studies, are the core and foundation of the digital twin. However, most of the digital twin solutions have limitations in real settings. Previous models often neglected to provide a detailed description of the components or operational rules of the digital twin, which poses limits for practitioners. This is because there is not a completely unified understanding of the digital twin and not enough in-depth analysis of its components. This study aims to provide a methodology to construct a practical digital twin model. The method is based on the proposed five-dimensional digital twin model and the UNISON framework. To illustrate the structured procedures of this model, it was applied in an empirical study for the new energy power battery. The results have demonstrated the validity of the proposed framework. From the perspective of model construction, this study provides ideas and technical references for the application of the digital twin.
引用
收藏
页数:13
相关论文
共 50 条
  • [11] A Review on Digital Twin for Robotics in Smart Manufacturing
    Liang, Xinquan
    Xiao, Rui
    Zhang, Jingbing
    2022 IEEE 17TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2022, : 1510 - 1515
  • [12] Research on Smart Manufacturing and Digital Twin Technology in Manufacturing Industry
    GAO Cunbao
    International Journal of Plant Engineering and Management, 2025, 30 (01) : 28 - 38
  • [13] A Reconfigurable Modeling Approach for Digital Twin-based Manufacturing System
    Zhang, Chenyuan
    Xu, Wenjun
    Liu, Jiayi
    Liu, Zhihao
    Zhou, Zude
    Duc Truong Pham
    11TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS, 2019, 83 : 118 - 125
  • [14] A Digital Twin Framework for Flexible Manufacturing System
    Sid-Lakhdar, Mokhtar Nizar
    Benderbal, Hichem Haddou
    Souier, Mehdi
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS-PRODUCTION MANAGEMENT SYSTEMS FOR VOLATILE, UNCERTAIN, COMPLEX, AND AMBIGUOUS ENVIRONMENTS, APMS 2024, PT VI, 2024, 733 : 155 - 167
  • [15] Framework for a digital twin in manufacturing: Scope and requirements
    Shao, Guodong
    Helu, Moneer
    MANUFACTURING LETTERS, 2020, 24 (24) : 105 - 107
  • [16] A unified framework for digital twin development in manufacturing
    Latsou, Christina
    Ariansyah, Dedy
    Salome, Louis
    Erkoyuncu, John Ahmet
    Sibson, Jim
    Dunville, John
    ADVANCED ENGINEERING INFORMATICS, 2024, 62
  • [17] Framework and operation of digital twin smart freeway
    Fu, Hui
    Zhao, Tuo
    Chen, Yanghang
    Yao, Yipeng
    Leng, Jiewu
    IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (03) : 616 - 629
  • [18] Design of Manufacturing Equipment Digital Twin Interworking Framework based on REST API for Smart Factory
    Wee, Jungwook
    Cho, Minju
    Lee, Youn-Sung
    Lee, Kyung-Taek
    2024 FIFTEENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS, ICUFN 2024, 2024, : 633 - 635
  • [19] Edge Computing and Digital Twin Based Smart Manufacturing
    Protner, Jernej
    Pipan, Miha
    Zupan, Hugo
    Resman, Matevz
    Simic, Marko
    Herakovic, Niko
    IFAC PAPERSONLINE, 2021, 54 (01): : 831 - 836
  • [20] DIGITAL TWIN FOR SMART MANUFACTURING: THE PRACTITIONER'S PERSPECTIVE
    Barring, Maja
    Johansson, Bjorn
    Shao, Guodong
    PROCEEDINGS OF THE ASME 2020 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2020, VOL 2B, 2020,