Operation Twins: Synchronized Production-Intralogistics for Industry 4.0 Manufacturing

被引：2
|
作者：
Li, Mingxing [1 ]
Guo, Daqiang [1 ,2 ]
Huang, George Q. [1 ]
机构：
[1] Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Peoples R China
[2] Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
来源：
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V | 2021年 / 634卷
基金：
国家重点研发计划;
关键词：
Operation twins; Production-intralogistics synchronization; Production and operations management; Real-time visibility and traceability; Industry; 4.0; Smart manufacturing; MODELS;
D O I：
10.1007/978-3-030-85914-5_63
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The widespread adoption of Industry 4.0 technologies in factories are transforming manufacturing operations management. Multiple resources are interconnected, massive data are real-timely collected by smart devices to provide visibility and traceability. It is generally acknowledged that real-time data are beneficial for manufacturing operations management. How to utilize these data for facilitating production and intralogistics (PiL) operations management is an emerging challenge. This study proposes a new concept, operation twins, for achieving synchronized PiL operations based on three dimensions of synchronization (cyber-physical synchronization, spatial-temporal synchronization, and data-driven decisions synchronization).
引用
收藏
页码：596 / 604
页数：9
相关论文
共 50 条
  • [1] Operation twins: production-intralogistics synchronisation in Industry 4.0
    Li, Mingxing
    Guo, Daqiang
    Li, Ming
    Qu, Ting
    Huang, George Q.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 61 (15) : 5193 - 5211
  • [2] Production-intralogistics synchronization of industry 4.0 flexible assembly lines under graduation intelligent manufacturing system
    Li, Mingxing
    Huang, George Q.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 241
  • [3] The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0
    Mohsen Attaran
    Sharmin Attaran
    Bilge Gokhan Celik
    [J]. Advances in Computational Intelligence, 2023, 3 (3):
  • [4] Strategic servitization design method for Industry 4.0-based smart intralogistics and production
    Lee, Ching-Hung
    Li, Li
    Wang, Dianni
    Wee, Hong Jie
    [J]. Expert Systems with Applications, 2022, 204
  • [5] Strategic servitization design method for Industry 4.0-based smart intralogistics and production
    Lee, Ching-Hung
    Li, Li
    Wang, Dianni
    Wee, Hong Jie
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 204
  • [6] Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics
    Fragapane, Giuseppe
    Ivanov, Dmitry
    Peron, Mirco
    Sgarbossa, Fabio
    Strandhagen, Jan Ola
    [J]. ANNALS OF OPERATIONS RESEARCH, 2022, 308 (1-2) : 125 - 143
  • [7] Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics
    Giuseppe Fragapane
    Dmitry Ivanov
    Mirco Peron
    Fabio Sgarbossa
    Jan Ola Strandhagen
    [J]. Annals of Operations Research, 2022, 308 : 125 - 143
  • [8] Intralogistics and industry 4.0: designing a novel shuttle with picking system
    Fernandes, J.
    Silva, F. J. G.
    Campilho, R. D. S. G.
    Pinto, G. F. L.
    Baptista, A.
    [J]. 29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 1801 - 1832
  • [9] Digital Twins in Industry 4.0
    Park, Sangchan
    Maliphol, Sira
    Woo, Jiyoung
    Fan, Liu
    [J]. ELECTRONICS, 2024, 13 (12)
  • [10] Industry 4.0 and Digital Twins
    Speicher, Terrance F.
    DeFranco, Joanna F.
    [J]. COMPUTER, 2023, 56 (06) : 84 - 88
12345