TY - JOUR
T1 - Design of a Smart Manufacturing System With the Application of Multi-Access Edge Computing and Blockchain Technology
AU - Lee, Ka Man
AU - Huo, Yunzhang
AU - Zhang, Shuzhu
AU - Ng, Kam Hung
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 71902171 and Grant 71771195, in part by the Humanities and Social Science Foundation of Ministry of Education of China under Grant 19YJC630216, in part by the Natural Science Foundation of Zhejiang Province, China, under Grant LY19G010003, in part by the Collaboration Research Project, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, under Project G-YBWR, in part by the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, and in part by the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
Publisher Copyright:
© 2013 IEEE.
PY - 2020/2/17
Y1 - 2020/2/17
N2 - 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.
AB - 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.
KW - Blockchain technology
KW - edge computing
KW - smart manufacturing
KW - swarm intelligence
UR - http://www.scopus.com/inward/record.url?scp=85079752249&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.2972284
DO - 10.1109/ACCESS.2020.2972284
M3 - Journal article
SN - 2169-3536
VL - 8
SP - 28659
EP - 28667
JO - IEEE Access
JF - IEEE Access
M1 - 8986658
ER -