Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology
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, blockchai...
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sg-ntu-dr.10356-1457162023-03-04T17:24:37Z Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology Lee, C. K. M. Huo, Y. Z. Zhang, S. Z. Ng, Kam K. H. School of Mechanical and Aerospace Engineering School of Electrical and Electronic Engineering Engineering::Mechanical engineering Blockchain Technology Edge Computing 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. Nanyang Technological University Published version 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. 2021-01-06T00:59:40Z 2021-01-06T00:59:40Z 2020 Journal Article Lee, C. K. M., Huo, Y. Z., Zhang, S. Z., & Ng, K. K. H. (2020). Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology. IEEE Access, 8, 28659-28667. doi:10.1109/ACCESS.2020.2972284 2169-3536 https://hdl.handle.net/10356/145716 10.1109/ACCESS.2020.2972284 8 28659 28667 en IEEE Access © 2020 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given. application/pdf |
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Engineering::Mechanical engineering Blockchain Technology Edge Computing Lee, C. K. M. Huo, Y. Z. Zhang, S. Z. Ng, Kam K. H. Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
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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. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Lee, C. K. M. Huo, Y. Z. Zhang, S. Z. Ng, Kam K. H. |
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Article |
author |
Lee, C. K. M. Huo, Y. Z. Zhang, S. Z. Ng, Kam K. H. |
author_sort |
Lee, C. K. M. |
title |
Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
title_short |
Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
title_full |
Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
title_fullStr |
Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
title_full_unstemmed |
Design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
title_sort |
design of a smart manufacturing system with the application of multi-access edge computing and blockchain technology |
publishDate |
2021 |
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https://hdl.handle.net/10356/145716 |
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1759855661653426176 |