- Title
- Cloud-based smart manufacturing for personalized candy packing application
- Creator
- Wang, Shiyong; Wan, Jiafu; Imran, Muhammad; Li, Di; Zhang, Chunhua
- Date
- 2018
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181855
- Identifier
- vital:16038
- Identifier
-
https://doi.org/10.1007/s11227-016-1879-4
- Identifier
- ISBN:0920-8542 (ISSN)
- Abstract
- Industry 4.0 has been proposed to address personalized consumption demands by building cyber-physical production systems for smart manufacturing. Although cloud manufacturing and some integrated frameworks for smart factory have been presented in literatures, it still lacks industrial applications. In this paper, we use personalized candy packing application as a demonstration to illustrate our smart factory design. We first describe the component layers of the smart factory, i.e., physical devices, private cloud, client terminals, and network, to enable the smart factory to be integrated with other systems, such as banks and logistical network, to cope with personalized consumption demands. Then, we present a scheme for inter-layered interaction. As for the physical devices, we also design an intra-layered negotiation mechanism to implement dynamic reconfiguration, so that the system can support hybrid production of multi-typed products. Finally, we give experimental results to verify efficiency, self-organized process, and hybrid production paradigm of the proposed system. © 2016, Springer Science+Business Media New York.
- Publisher
- Springer New York LLC
- Relation
- Journal of Supercomputing Vol. 74, no. 9 (2018), p. 4339-4357
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © Springer Science+Business Media New York 2016
- Subject
- 4604 Cybersecurity and Privacy; 4606 Distributed Computing and Systems Software; Industrial big data; Industry 4.0; Self-organization; Smart factory; Smart manufacturing
- Reviewed
- Funder
- Acknowledgements This work was supported in part by the National Key Technology R&D Program of China (No. 2015BAF20B01), the Science and Technology Planning Project of Guangdong Province (Nos. 2016A010102008 and 2014B090921003), the Science and Technology Planning Project of Guangzhou City (Nos. 201508030007 and 201604010064), the Natural Science Foundation of Guangdong Province (nos. 2016A030313734 and 2016A030313735), and the Fundamental Research Funds for the Central Universities (No. 2015ZZ079). Imran’s work is supported by the Deanship of Scientific Research at King Saud University through Research group No. (RG # 1435-051).
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