- Title
- A reconfigurable method for intelligent manufacturing based on industrial cloud and edge intelligence
- Creator
- Tang, Hao; Li, Di; Wan, Jiafu; Imran, Muhammad; Shoaib, Muhammad
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184424
- Identifier
- vital:16482
- Identifier
-
https://doi.org/10.1109/JIOT.2019.2950048
- Identifier
- ISBN:2327-4662 (ISSN)
- Abstract
- The development of Industry 4.0 has provided the possibility to meet frequent changes in product type and batches, a sharp decline in the delivery cycle, constraints of quality cost, and other relevant parameters of customized production mode. Intelligent manufacturing, as a core of Industry 4.0, represents a deep integration of new IT technologies, such as the industrial Internet of Things and service-oriented architecture, and manufacturing process. To realize intelligent manufacturing, this article introduces a cloud-assisted and edge-decision-making manufacturing architecture that contains a cloud and production edges. An intelligent production edge is designed to provide the traditional devices the abilities of data access and self-decision making. Besides, the proposed architecture is modeled as a multiagent system with the edge intelligence support, describing the agent-based reconfiguration mechanism from the three aspects, namely, agent interaction, agent behavior, and negotiation mechanism. The experimental results show that the reconfigurable method based on the proposed architecture can be used in the mixed-flow production scenario based on random orders, to improve the adaptability and robustness. © 2014 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Internet of Things Journal Vol. 7, no. 5 (2020), p. 4248-4259
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ IEEE
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software; 4009 Electronics, Sensors and Digital Hardware; Edge computing; Intelligent manufacturing; Multiagent system (MAS)
- Reviewed
- Funder
- This work was supported in part by the National Key Research and Development Program of China under Grant 2018YFB1700500, in part by the National Natural Science Foundation of China under Grant 51605168, in part by the Science and Technology Planning Project of Guangdong Province under Grant 2017B090913002 and Grant 2017B090914002, and in part by the Smart Manufacturing Project of Integrated Standardization and New Application Model, and the Major Science and Technology Project of Dongguan City under Grant 2018215102006. The work of J. Wan was supported in part by the Science and Technology Program of Guangzhou, China, under Grant 201802030005
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