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ManuChain: Combining Permissioned Blockchain With a Holistic Optimization Model as Bi-Level Intelligence for Smart Manufacturing.

Authors :
Leng, Jiewu
Yan, Douxi
Liu, Qiang
Xu, Kailin
Zhao, J. Leon
Shi, Rui
Wei, Lijun
Zhang, Ding
Chen, Xin
Source :
IEEE Transactions on Systems, Man & Cybernetics. Systems. Jan2020, Vol. 50 Issue 1, p182-192. 11p.
Publication Year :
2020

Abstract

The growth of individualized product demands drives high flexibility of manufacturing processes, which requires large-scale deployment of Industrial Internet of Things (IIoT). Since centralized control of IIoT suffers from poor flexibility in coping with disturbances and changes, a decentralized organization structure is a better choice, in which a permissioned blockchain-driven IIoT can enable partially decentralized self-organization and thus offload and accelerate the optimization of upper-level manufacturing planning. A novel iterative bi-level hybrid intelligence model named ManuChain is proposed to get rid of unbalance/inconsistency between holistic planning and local execution in individualized manufacturing systems. Lower-level blockchain-driven smart contracts proactively decentralize fine-grained and individualized task execution among machine tools via Raspberry Pi-based smart gateways and make the results available on an upper-level digital twin model for iterative coarse-grained holistic optimization. A prototype ManuChain based on a permissioned blockchain network is presented to realize both lower-level crowd self-organizing intelligence and upper-level holistic optimization intelligence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21682216
Volume :
50
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Systems, Man & Cybernetics. Systems
Publication Type :
Academic Journal
Accession number :
141082988
Full Text :
https://doi.org/10.1109/TSMC.2019.2930418