A digital twin-driven production management system for production workshop

被引:64
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 30 条
  • [1] A digital twin for production planning based on cyber-physical systems: A Case Study for a Cyber-Physical System-Based Creation of a Digital Twin
    Biesinger, Florian
    Meike, Davis
    Krass, Benedikt
    Weyrich, Michael
    [J]. 12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2019, 79 : 355 - 360
  • [2] Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory
    Borodulin, Kirill
    Radchenko, Gleb
    Shestakov, Aleksandr
    Sokolinsky, Leonid
    Tchernykh, Andrey
    Prodan, Radu
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC' 17), 2017, : 209 - 210
  • [3] Boschert S., 2016, Mechatronic futures, P59, DOI DOI 10.1007/978-3-319-32156-1_5
  • [4] Sensor data and information fusion to construct digital-twins virtual machine tools for cyber-physical manufacturing
    Cai, Yi
    Starly, Binil
    Cohen, Paul
    Lee, Yuan-Shin
    [J]. 45TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 45), 2017, 10 : 1031 - 1042
  • [5] Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors
    Ding, Kai
    Chan, Felix T. S.
    Zhang, Xudong
    Zhou, Guanghui
    Zhang, Fuqiang
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (20) : 6315 - 6334
  • [6] An application of Six Sigma methodology for improving the first pass yield of a grinding process
    Gijo, E. V.
    Antony, Jiju
    Kumar, Maneesh
    McAdam, Rodney
    Hernandez, Jose
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2014, 25 (01) : 125 - 135
  • [7] Grieves M., 2014, White Paper, V1, P1
  • [8] Research on Improvement of Truck Vibration Based on Systematic G8D Method
    Guo, Hongfei
    Chen, Minshi
    Zhang, Ru
    Li, Jianke
    Li, Congdong
    Qu, Ting
    Huang, George Q.
    He, Zhihui
    Zeng, Yunhui
    [J]. SHOCK AND VIBRATION, 2019, 2019
  • [9] Data Construction Method for the Applications of Workshop Digital Twin System
    Kong, Tianxiang
    Hu, Tianliang
    Zhou, Tingting
    Ye, Yingxin
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2021, 58 : 323 - 328
  • [10] Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process
    Kunath, Martin
    Winkler, Herwig
    [J]. 51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 225 - 231