Availability of Manufacturing data resources in Digital Twin

被引:7
|
作者
Bazaz, Sara Moghadaszadeh [1 ]
Lohtander, Mika [1 ]
Varis, Juha [1 ]
机构
[1] Lappeenranta Lahti Univ Technol, POB 20, FI-53851 Lappeenranta, Finland
关键词
Data ownership; digital twin; manufacturing data and information; turning process; INFORMATION; KNOWLEDGE;
D O I
10.1016/j.promfg.2020.10.158
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Data and information are the basis of the integrated manufacturing environment. The latest, synonym of the integrated manufacturing environment is a digital twin. The concept of a digital twin has grown profoundly in recent years. Several models and frameworks are suggested to create a digital twin in manufacturing. Various information and data flows are involved in any manufacturing case. Diagnosis and gather required data and information is the first and basis of creating digital twin. Data ownership is a significant issue because of the large amount of isolated data islands and due to different data ownership relationships of the whole production chain. This study focuses on the ownership paradigm in manufacturing and digital twin. The reliable data resources in manufacturing the metal-based products are recognized. Available and unavailable data in the turning process are studied and classified in general form to cover every condition as a case study. (C) 2020 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1125 / 1131
页数:7
相关论文
共 50 条
  • [1] Development of Digital Twin with External Data Resources in Manufacturing with Complex Algorithms
    Vijayalakshmi N.
    Roopa Y.M.
    Ashreetha B.
    Ramesh J.V.N.
    Rao E.G.
    Sundararajan P.N.
    [J]. SN Computer Science, 4 (5)
  • [2] Digital twin technology - external data resources in creating the model and classification of different digital twin types in manufacturing
    Ruzsa, Csaba
    [J]. 10TH CIRP SPONSORED CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGIES (DET 2020) - DIGITAL TECHNOLOGIES AS ENABLERS OF INDUSTRIAL COMPETITIVENESS AND SUSTAINABILITY, 2021, 54 : 209 - 215
  • [3] Digital Twin Cities: Data Availability and Systematic Data Collection
    Jacobellis, Michael
    Ilbeigi, Mohammad
    [J]. CONSTRUCTION RESEARCH CONGRESS 2022: INFRASTRUCTURE, SUSTAINABILITY, AND RESILIENCE, 2022, : 437 - 444
  • [4] Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing
    Wang, Gang
    Zhang, Geng
    Guo, Xin
    Zhang, Yingfeng
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2021, 59 (59) : 165 - 179
  • [5] Visualisation of the Digital Twin data in manufacturing by using Augmented Reality
    Zhu, Zexuan
    Liu, Chao
    Xu, Xun
    [J]. 52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS), 2019, 81 : 898 - 903
  • [6] A digital twin for composite parts manufacturing Effects of defects analysis based on manufacturing data
    Zambal, Sebastian
    Eitzinger, Christian
    Clarke, Michael
    Klintworth, John
    Mechin, Pierre-Yves
    [J]. 2018 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2018, : 803 - 808
  • [7] Intelligent Manufacturing with Digital Twin
    Moeller, Dietmar P. F.
    Vakilzadian, Hamid
    Hou, Weyan
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT), 2021, : 413 - 418
  • [8] Digital twin in smart manufacturing
    Li, Lianhui
    Lei, Bingbing
    Mao, Chunlei
    [J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2022, 26
  • [9] Digital twin for additive manufacturing
    Wittmeir, Tobias
    Oettl, Fabio
    Schilp, Johannes
    [J]. WT Werkstattstechnik, 2023, 113 (03): : 119 - 123
  • [10] Digital Twin Portrait: A Fusion and Application Method of Multisource Twin Data for Flexible Manufacturing Line
    Ren, Zijie
    Wan, Ke
    Zhang, Rui
    Qiao, Peng
    [J]. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2024, 5 (02): : 753 - 762