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Hyperledger Fabric-Based Tea Supply Chain Production Data Traceable Scheme

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  • Chin-Ling Chen

    (School of Information Engineering, Changchun Sci-Tech University, Changchun 130600, China
    Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung City 413310, Taiwan)

  • Wan-Bing Zhan

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Der-Chen Huang

    (Department of Computer Science and Engineering, National Chung-Hsing University, Taichung 40227, Taiwan)

  • Ling-Chun Liu

    (Department of Computer Science and Engineering, National Chung-Hsing University, Taichung 40227, Taiwan)

  • Yong-Yuan Deng

    (Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung City 413310, Taiwan)

  • Chin-Guo Kuo

    (Department of Industrial Education, National Taiwan Normal University, Taipei 10610, Taiwan)

Abstract

With the advent of Industry 4.0, blockchain is one of the emerging technologies that can be used in multiple fields, especially in supply chain networks, where it is considered a sustainable concept technology. Because of its decentralization, reliability, transparency, consistency, and traceability, blockchain can challenge existing conventional models in supply chain scenarios. Therefore, this study proposes a framework that integrates the technology of Blockchain 3.0 (Hyperledger Fabric) into the tea supply chain. The concept of data traceability driven by blockchain technology consists of documenting the tea supply chain system, in which the cultivation, processing, and retailing of tea leaves are documented, and optimizing the existing anti-counterfeiting mechanisms. The ECDSA algorithm is used to confirm the identity among the entities located in the Hyperledger Fabric channel, and IPFS technology is introduced to store tea traceability data to solve the problem of data increment in the tea production process. Only the hash value and traceability code of the traceability data are stored in the block. We analyze the relationship between the number of transactions and latency, and we can see the latency time of both write and read transactions. The system tested write transactions and read transactions with a minimum write speed of 0.97 s and a maximum of 6.26 s and a minimum read speed of 0.1 s and a maximum of 4.62 s via Caliper analysis. The experimental results show that the performance analysis sounds good. This study uses distributed theory and service-oriented thinking in its specific application to the tea supply chain system model and takes each entity through a B2B connection to achieve anti-counterfeit traceability in the tea supply chain of a regulatory nature.

Suggested Citation

  • Chin-Ling Chen & Wan-Bing Zhan & Der-Chen Huang & Ling-Chun Liu & Yong-Yuan Deng & Chin-Guo Kuo, 2023. "Hyperledger Fabric-Based Tea Supply Chain Production Data Traceable Scheme," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13738-:d:1240077
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    References listed on IDEAS

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    1. Chang, Shuchih Ernest & Chen, Yi-Chian & Lu, Ming-Fang, 2019. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 1-11.
    2. Sachin Kumar Mangla & Yiğit Kazançoğlu & Abdullah Yıldızbaşı & Cihat Öztürk & Ahmet Çalık, 2022. "A conceptual framework for blockchain‐based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain," Business Strategy and the Environment, Wiley Blackwell, vol. 31(8), pages 3693-3716, December.
    3. Fawcett, Stanley E. & Jones, Stephen L. & Fawcett, Amydee M., 2012. "Supply chain trust: The catalyst for collaborative innovation," Business Horizons, Elsevier, vol. 55(2), pages 163-178.
    Full references (including those not matched with items on IDEAS)

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