Design of a Smart Manufacturing System With the Application of Multi-Access Edge Computing and Blockchain Technology

被引:45
作者
Lee, C. K. M. [1 ]
Huo, Y. Z. [1 ]
Zhang, S. Z. [2 ]
Ng, K. K. H. [3 ,4 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China
[2] Zhejiang Univ Finance & Econ, Dept Informat Management & Engn, Hangzhou 310018, Peoples R China
[3] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
基金
国家教育部科学基金资助; 中国国家自然科学基金;
关键词
Blockchain technology; edge computing; smart manufacturing; swarm intelligence; INDUSTRIAL INTERNET; SWARM INTELLIGENCE; THINGS; IOT;
D O I
10.1109/ACCESS.2020.2972284
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart manufacturing is the core of the modern production and manufacturing industry as it moves towards digitalization. The successful implementation of smart manufacturing needs the support of information technology, data technology, and operational technology, among which edge computing, blockchain technology and artificial intelligence can play significant roles facilitating the development of smart manufacturing. In this research, a smart manufacturing system is proposed considering the integration of edge computing and blockchain technology. The introduction of edge computing can balance the computational workload and provide a more timely response for terminal devices. Blockchain technology can be utilized to promote both the device-level data transmission and the manufacturing service transaction. Moreover, regarding the computational task assignment in smart manufacturing systems, a mathematical model is proposed, and further solved using a swarm intelligence-based approach. Numerical experiments show that the introduction of the edge computing mechanism in smart manufacturing can significantly improve the processing time, especially with a large number of tasks.
引用
收藏
页码:28659 / 28667
页数:9
相关论文
共 25 条
  • [11] Blockchain technology for enhancing Check for updates supply chain resilience
    Min, Hokey
    [J]. BUSINESS HORIZONS, 2019, 62 (01) : 35 - 45
  • [12] Sustainable Service Allocation Using a Metaheuristic Technique in a Fog Server for Industrial Applications
    Mishra, Sambit Kumar
    Puthal, Deepak
    Rodrigues, Joel J. P. C.
    Sahoo, Bibhudatta
    Dutkiewicz, Eryk
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (10) : 4497 - 4506
  • [13] Survey on Multi-Access Edge Computing for Internet of Things Realization
    Porambage, Pawani
    Okwuibe, Jude
    Liyanage, Madhusanka
    Ylianttila, Mika
    Taleb, Tarik
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (04): : 2961 - 2991
  • [14] Reznik A., 2017, DEV SOFTWARE MULTIAC
  • [15] A Framework for Determining Blockchain Applicability
    Scriber, Brian A.
    [J]. IEEE SOFTWARE, 2018, 35 (04) : 70 - 77
  • [16] Industrial Internet of Things: Challenges, Opportunities, and Directions
    Sisinni, Emiliano
    Saifullah, Abusayeed
    Han, Song
    Jennehag, Ulf
    Gidlund, Mikael
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (11) : 4724 - 4734
  • [17] On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration
    Taleb, Tarik
    Samdanis, Konstantinos
    Mada, Badr
    Flinck, Hannu
    Dutta, Sunny
    Sabella, Dario
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (03): : 1657 - 1681
  • [18] Data-driven smart manufacturing
    Tao, Fei
    Qi, Qinglin
    Liu, Ang
    Kusiak, Andrew
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2018, 48 : 157 - 169
  • [19] Toward Dynamic Resources Management for IoT-Based Manufacturing
    Wan, Jiafu
    Chen, Baotong
    Imran, Muhammad
    Tao, Fei
    Li, Di
    Liu, Chengliang
    Ahmad, Shafiq
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (02) : 52 - 59
  • [20] The Internet of Things in Manufacturing Key Issues and Potential Applications
    Yang, Chen
    Shen, Weiming
    Wang, Xianbin
    [J]. IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE, 2018, 4 (01): : 6 - 15