Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 546-551.doi: 10.11896/JsJkx.190700022

• Interdiscipline & Application • Previous Articles     Next Articles

Design and Performance Analysis of Automotive Supply Chain System Based on Hyperledger Fabric

LIN Xu-dan1, BAO Shi-Jian2, ZHAO Li-xin3 and ZHAO Chen-lin1   

  1. 1 School of information and communication engineering,BeiJing University of Posts and Telecommunications,BeiJing 100876,China
    2 China International Engineering Consulting Co.,Ltd,BeiJing 100044,China
    3 Henan Co.,Ltd,China Mobile Communications Group,Zhengzhou 450008,China
  • Published:2020-07-07
  • About author:LIN Xu-dan, born in 1994, received the research interests include edge computing and blockchain.
  • Supported by:
    This work was supported by the Standardization of Intelligent Manufacturing and Application of New Model in Ministry of Industry and Information Technology.

Abstract: Hitherto,a centralized management mode is prevalent in Automobile Supply Chain System (ASCS).The difficulty in data exchange and the information asymmetry between enterprises,nevertheless,are leading to a low efficiency in such system.Furthermore,critical question of trust is also raised due to the opacity of information.For these reasons,inspired by the emerging blockchain technology,a novel distributed blockchain-based ASCS with Hyperledger Fabric as a development framework is designed to provide secure and trusted transaction services for mutli-party enterprises.The proposed system is provided with a series of advantages,such as access control,Data transparency,traceable and non-modifiable.In addition,a multichannel architecture is devised to realize the privacy isolation in enterprise collaboration.In this paper,firstly,the experimental environment is constructed by utilizing the docker technology,and then the functional interface is tested.Finally,the feasibility of the proposed system is verified by analyzing the throughput performance.This paper introduces the model of “blockchain+”,which provides a new idea for the upgrading and transformation of traditional automobile supply chain.

Key words: Blockchain application, Supply chain, Hyperledger fabric, Privacy isolation

CLC Number: 

  • TP311
[1] SUNGBAE K,TAESOO M. 2016 49th Hawaii International Con-ference on System Sciences (HICSS)-Supply Chain Integration and Collaboration for Improving Supply Chain Performance:A Dynamic Capability Theory Perspective.2016:307-316.
[2] 郭珊珊.供应链的可信溯源查询在区块链上的实现.大连:大连海事大学,2017.
[3] MARODIN G A,FRANK,ALEJANDRO G,et al.Lean production and operational performance in the Brazilian automotive supply chain.Total Quality Management & Business Excellence,2017:1-16.
[4] AZEVEDO S,CARVALHO H,VIRG′ILIO C M.Trade-offs among Lean,Agile,Resilient and Green Paradigms in Supply Chain Management:A Case Study Approach//Proceedings of the Seventh International Conference on Management Science and Engineering Management Lecture Notes in Electrical Engineering.Berlin:Springer,2014.
[5] 李红峰.供应链条件下的汽车零部件采购管理.现代经济信息,2016(1):49-50.
[6] 王敏.华晨宝马供应链牛鞭效应研究.科技资讯,2018,509(8):251-253.
[7] 马丽莎,马燕.分散型供应链中“双重边际效应”协调策略研究.现代商贸工业,2016,37(11):34-35.
[8] 张瑾阳.LY公司汽车零部件供应链管理研究.西安:西安科技大学,2018.
[9] 董晓磊.汽车供销链体系结构研究与系统设计.重庆:重庆大学,2011.
[10] HARSASI M.The impact of supply chain management practices on competitive advantage.International Journal of Economic Policy in Emerging Economies,2017,10(3):240.
[11] KIM H M,LASKOWSKI M.Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance.Intelligent Systems in Accounting,Finance and Management,2018,25(1):18-27.
[12] 杨慧琴,孙磊,赵西超.基于区块链技术的互信共赢型供应链信息平台构建.科技进步与对策,2018(5):21-31.
[13] 史文斌.基于Hyperledger Fabric的区块链应用系统云服务化.2018.
[14] YANG Z,YANG K,LEI L,et al.Blockchain-based Decentra lized Trust Management in Vehicular Networks.IEEE Internet of Things Journal,2018,6(2):1495-1505.
[15] NAKAMOTO S.Bitcoin:A peer-to-peer electronic cash system .
[16] 袁勇,王飞跃.区块链技术发展现状与展望.自动化学报,2016,42(4).
[17] CHRISTIDIS K,DEVETSIKIOTIS M.Blockchains and Smart Contracts for the Internet of Things.IEEE Access,2016,4:2292-2303.
[18] WANG S,OUYANG L,YUAN Y,et al.Blockchain-Enabled Smart Contracts:Architecture,Applications,and Future Trends.IEEE Transactions on Systems,Man,and Cybernetics:Systems,2019:1-12.
[19] ANDROULAKI E,BARGER A,BORTNIKOV V,et al.Hyperledger Fabric:A Distributed Operating System for Permissioned Blockchains//Proceedings of the Thinteen EuroSys Conference,2018:1-15.
[20] TSAI W,BAI X,YU L.Design Issues in Permissioned Blockchains for Trusted Computing//2017 IEEE Symposium on Service-Oriented System Engineering (SOSE).San Francisco,CA,2017:153-159.
[21] SOUSA,JOO,BESSANI A,et al.A Byzantine Fault-Tolerant Ordering Service for the Hyperledger Fabric Blockchain Platform//2018 48th Annual IEEE/IFIP International Confe-rence on Dependable System and Networks(DSN).IEEE,2018:51-58.
[22] THAKKAR P,NATHAN S,VISHWANATHAN B.Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform//2018 IEEE 26th International Symposium on Modeling,Analysis,and Simulation of Computer and Telecommunication Systems(MASCOTS).IEEE,2018:264-276.
[1] SUN Jun-yan, ZHANG Yuan-yuan, WU Bing-ying, NIU Ya-ru, CHEN Chan-juan. Evolution Analysis of Household Car Supply Chain Based on Multi-Agent [J]. Computer Science, 2020, 47(7): 171-178.
[2] DONG Gui-shan, CHEN Yu-xiang, FAN Jia, HAO Yao, LI Feng. Research on Privacy Protection Strategies in Blockchain Application [J]. Computer Science, 2019, 46(5): 29-35.
[3] LIU Ying. Big Data Analytics and Insights in Distribution Characteristics of Supply Chain Finance [J]. Computer Science, 2019, 46(2): 1-10.
[4] FANG Qing, SHAO Yuan. Optimal Model of Multi-objective Supply Chain Based on Improved IWD Algorithm [J]. Computer Science, 2018, 45(8): 198-202.
[5] TONG Ze-ping, LI Tao, LI Li-jie and REN Liang. Study on Collaborative Optimization of Supply Chain with Uncertain Demand and Capacity Constraint [J]. Computer Science, 2018, 45(4): 260-265.
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[7] YAN Jun, DING Xin-pei and LIU Yong-rui. Research on Collaborative Optimization of Supply Chain Inventory Based on Immune Genetic Algorithm [J]. Computer Science, 2016, 43(Z11): 59-62.
[8] ZHONG Fu, GUO Jian-sheng, ZHANG Si-jia and WANG Zu-tong. Supply Chain Competitiveness Evaluation Method Based on Optimized Support Vector Machine [J]. Computer Science, 2015, 42(Z11): 27-31.
[9] YANG Chao,ZHANG Hong-qi and QING Meng-yu. Security RFID Authentication Scheme in Supply Chains [J]. Computer Science, 2014, 41(4): 134-138.
[10] LIU Hong,ZHOU Gen-gui,FU Pei-hua and MAO Guo-hong. Research of Transferring Attack Based on Supply Chain Network [J]. Computer Science, 2013, 40(7): 98-101.
[11] . Local Evolving Model Research of Layered Supply Chains Complex Networks [J]. Computer Science, 2013, 40(2): 270-273.
[12] . R/M Integrated Supply Chain Risk Prediction Based on Improved Apriori Algorithm [J]. Computer Science, 2012, 39(Z6): 331-334.
[13] DENG Miao-lei,HOU Ying-chun,WEI Bao-jun. Secure RFID Communication Protocol in Supply Chains [J]. Computer Science, 2011, 38(1): 62-65.
[14] . [J]. Computer Science, 2008, 35(7): 237-240.
[15] . [J]. Computer Science, 2008, 35(12): 24-27.
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