A Trusted Supply Chain Management System Based on Permissioned Blockchains

DOI

10.2991/cnci-19.2019.78How to use a DOI?

Keywords

Supply Chain, Permissioned Blockchains, Smart Contract, IoT

Abstract

At present, the supply chain system has many problems, such as a large number of scattered participants, which make it difficult to centralize management and operation. Also, it is difficult to integrate data and information, and establish trust relationships between parties. To address these problems, we propose a trusted supply chain management (SCM) system based on permissioned blockchains (BCs) to making the transaction information between alliance companies which is transparent enough to establish mutual trust. We design and develop a supply chain prototype system based on permissioned BCs, smart contract and internet of things (IoT). Use IoT technologies, such as quick response code (QRC), radio frequency identification (RFID) and Near field communication (NFC), to realize the automatic upload of entities data of the supply chain. The dual-BCs system architecture is designed to ensure the high throughput and scalability of the system. The smart contracts to making the supply chain system more automated, more secure and credible. Finally, the effectiveness of the design scheme is demonstrated by combining the specific application scenario with the practical case.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rong Wang
AU  - Wei-Tek Tsai
AU  - Juan He
AU  - Can Liu
AU  - Qi Li
AU  - Enyan Deng
PY  - 2019/05
DA  - 2019/05
TI  - A Trusted Supply Chain Management System Based on Permissioned Blockchains
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 559
EP  - 568
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.78
DO  - 10.2991/cnci-19.2019.78
ID  - Wang2019/05
ER  -