A digital twin-driven production management system for production workshop

被引:63
|
作者
Ma, Jun [1 ,2 ]
Chen, Huimin [3 ]
Zhang, Yu [4 ]
Guo, Hongfei [5 ,6 ]
Ren, Yaping [5 ,6 ]
Mo, Rong [1 ,2 ]
Liu, Luyang [7 ]
机构
[1] Northwestern Polytech Univ, Minist Educ, Key Lab Contemporary Design & Integrated Mfg Tech, Xian 710072, Peoples R China
[2] Chongqing Tiema Ind Grp Co Ltd, Chongqing 400050, Peoples R China
[3] Univ Hong Kong, Inst Comp Sci, Hong Kong 999077, Peoples R China
[4] Guangzhou CreateView Educ Technol Co Ltd, Guangzhou 510000, Peoples R China
[5] Jinan Univ, Sch Intelligent Syst Sci & Engn, Zhuhai 519070, Peoples R China
[6] Jinan Univ, Inst Phys Internet, Zhuhai 519070, Peoples R China
[7] Univ Hong Kong, Sch Engn, Hong Kong 999077, Peoples R China
关键词
Production management; Digital twin; Smart workshop; Heavy-duty vehicle gearbox; FRAMEWORK; SERVICE; DESIGN;
D O I
10.1007/s00170-020-05977-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of smart manufacturing, some challenges are emerging in the production management, including the utilization of information technology and the elimination of dynamic disturbance. A digital twin-driven production management system (DTPMS) can dynamically simulate and optimize production processes in manufacturing and achieve real-time synchronization, high fidelity, and real-virtual fusion in cyber-physical production. This paper focuses on establishing DTPMS for production life-cycle management. First, we illustrate how to integrate digital twin technology and simulation platforms. Second, a framework of DTPMS is proposed to support a cyber-physical system of production workshop, including product design, product manufacturing, and intelligent service management. Finally, the proposed DTPMS is applied to the production process of a heavy-duty vehicle gearbox. The experimental results indicate that the defective rate of products and the in-process inventory are reduced by 34% and 89%, respectively, while the one-time pass rate of product inspection is increased by 14.2%, which demonstrates the feasibility and effectiveness of the DTPMS.
引用
收藏
页码:1385 / 1397
页数:13
相关论文
共 50 条
  • [21] Digital twin-driven parameter change propagation path optimization for production line variant design
    Yan, Douxi
    Yang, Jiafeng
    Zhang, Ding
    Leng, Jiewu
    Liu, Qiang
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2023, 37 (10-11) : 1318 - 1334
  • [22] Digital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line
    Yan, Douxi
    Liu, Qiang
    Leng, Jiewu
    Zhang, Ding
    Zhao, Rongli
    Zhang, Hao
    Wei, Lijun
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2021, 21 (03)
  • [23] Digital twin-driven dynamic scheduling for the assembly workshop of complex products with workers allocation
    Gao, Qinglin
    Liu, Jianhua
    Li, Huiting
    Zhuang, Cunbo
    Liu, Ziwen
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2024, 89
  • [24] Digital Twin-driven framework for fatigue lifecycle management of steel bridges
    Jiang, Fei
    Ding, Youliang
    Song, Yongsheng
    Geng, Fangfang
    Wang, Zhiwen
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2023, 19 (12) : 1826 - 1846
  • [25] Digital twin-driven smelting process management method for converter steelmaking
    Fu, Tianjie
    Liu, Shimin
    Li, Peiyu
    JOURNAL OF INTELLIGENT MANUFACTURING, 2024,
  • [26] Digital twin-driven smart supply chain
    Lu WANG
    Tianhu DENG
    Zuo-Jun Max SHEN
    Hao HU
    Yongzhi QI
    Frontiers of Engineering Management, 2022, (01) : 56 - 70
  • [27] Digital twin-driven smart supply chain
    Wang, Lu
    Deng, Tianhu
    Shen, Zuo-Jun Max
    Hu, Hao
    Qi, Yongzhi
    FRONTIERS OF ENGINEERING MANAGEMENT, 2022, 9 (01) : 56 - 70
  • [28] Digital twin-driven manufacturing equipment development
    Wei, Yongli
    Hu, Tianliang
    Dong, Lili
    Ma, Songhua
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 83
  • [29] Digital twin-driven product design framework
    Tao, Fei
    Sui, Fangyuan
    Liu, Ang
    Qi, Qinglin
    Zhang, Meng
    Song, Boyang
    Guo, Zirong
    Lu, Stephen C. -Y.
    Nee, A. Y. C.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (12) : 3935 - 3953
  • [30] Digital twin-driven smart supply chain
    WANG Lu
    DENG Tianhu
    SHEN Zuo-Jun Max
    HU Hao
    QI Yongzhi
    Frontiers of Engineering Management, 2022, 9 (01) : 56 - 70