DIGITAL TWIN FOR SMART MANUFACTURING: THE PRACTITIONER'S PERSPECTIVE

被引:0
|
作者
Barring, Maja [1 ]
Johansson, Bjorn [1 ]
Shao, Guodong [2 ]
机构
[1] Chalmers Univ Technol, Ind & Mat Sci, Horsalsvagen 7A, S-41296 Gothenburg, Sweden
[2] NIST, 100 Bur Dr,MS 8260, Gaithersburg, MD 20899 USA
关键词
Digital Twin; Digitalization; Smart Manufacturing; Supply Chain;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Shop Floor Digital Twin in Smart Manufacturing: A Systematic Literature Review
    Corallo, Angelo
    Del Vecchio, Vito
    Lezzi, Marianna
    Morciano, Paola
    [J]. SUSTAINABILITY, 2021, 13 (23)
  • [22] A survey of Digital Twin techniques in smart manufacturing and management of energy applications
    Wang, Yujie
    Kang, Xu
    Chen, Zonghai
    [J]. GREEN ENERGY AND INTELLIGENT TRANSPORTATION, 2022, 1 (02):
  • [23] Digital twin-enabled reconfigurable modeling for smart manufacturing systems
    Zhang, Chenyuan
    Xu, Wenjun
    Liu, Jiayi
    Liu, Zhihao
    Zhou, Zude
    Duc Truong Pham
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2021, 34 (7-8) : 709 - 733
  • [24] Microservice-based digital twin system towards smart manufacturing
    Yang, Hanbo
    Jiang, Gedong
    Tian, Wenwen
    Mei, Xuesong
    Nee, A. Y. C.
    Ong, S. K.
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2025, 91
  • [25] Toward the Creation of a Digital Twin Authoring Tool: A Smart Mobility Perspective in Smart Cities
    Hassan, Muhammad Umair
    Alaliyat, Saleh Abdel-Afou
    Hameed, Ibrahim A.
    [J]. IEEE ACCESS, 2024, 12 : 111280 - 111292
  • [26] Digital Transformation's Impact on Smart Manufacturing
    Behnke, John
    [J]. 2020 INTERNATIONAL SYMPOSIUM ON SEMICONDUCTOR MANUFACTURING (ISSM), 2020,
  • [27] Design of intelligent manufacturing system based on digital twin for smart shop floors
    Sun, Mengke
    Cai, Zongyan
    Zhao, Ningning
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2023, 36 (04) : 542 - 566
  • [28] CONCEPTUAL ARCHITECTURE OF DIGITAL TWIN WITH HUMAN-IN-THE-LOOP -BASED SMART MANUFACTURING
    Kim, Duck Bong
    Bajestani, Mahdi Sadeqi
    Shao, Guodong
    Jones, Albert
    Do Noh, Sang
    [J]. PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 3, 2023,
  • [29] Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis
    Warke, Vivek
    Kumar, Satish
    Bongale, Arunkumar
    Kotecha, Ketan
    [J]. SUSTAINABILITY, 2021, 13 (18)
  • [30] Smart Production and Manufacturing System Using Digital Twin Technology and Machine Learning
    Yadav R.
    Roopa Y.M.
    Lavanya M.
    Ramesh J.V.N.
    Chitra N.T.
    Babu G.R.
    [J]. SN Computer Science, 4 (5)