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Smart contract-based shipment for beverage supply chain 4.0

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  • Praveen Vijaya Raj Pushpa Raj

    (K J Somaiya Institute of Management, Somaiya Vidyavihar University)

  • Vadivel S. M

    (Operations Division, VIT Business School, Vellore Institute of Technology, Chennai Campus)

Abstract

The current highly disruptive market the supply chain complexities and security concerns are increasing. In order to increase the stability in the market fluctuation, and customer satisfaction, the real-time secure information sharing and traceability of the products between the entities in the is essential to prevent nefarious threats in the food supply chain. The effective, reliable, and automated information sharing in the supply chain is the key for supply chain 4.0. In this paper, we present a blockchain-based smart contract with an IoT-enabled shipment process to transform beverage supply chain operations to enhance the security and efficiency of the beverage supply chain. The proposed smart contract is being tested for the fresh orange juice supply chain operations framework intend to motivate supply chain 4.0 for secure, timely information and automated payment without the involvement of a third party. Furthermore, the proposed smart contract addresses the issue of perishable product expiry dates. The traceability feature of the blockchain, as well as real-time data transfer via IoT devices, ensure the product's quality and freshness.

Suggested Citation

  • Praveen Vijaya Raj Pushpa Raj & Vadivel S. M, 2025. "Smart contract-based shipment for beverage supply chain 4.0," Journal of Transportation Security, Springer, vol. 18(1), pages 1-22, December.
    • Handle: RePEc:spr:jtrsec:v:18:y:2025:i:1:d:10.1007_s12198-025-00306-x
    DOI: 10.1007/s12198-025-00306-x
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    References listed on IDEAS

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    1. Abderahman Rejeb & John G. Keogh & Horst Treiblmaier, 2019. "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, MDPI, vol. 11(7), pages 1-22, July.
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    3. Yong Yin & Kathryn E. Stecke & Dongni Li, 2018. "The evolution of production systems from Industry 2.0 through Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 848-861, January.
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    7. A. Sivakumar & N. Bagath Singh & D. Arulkirubakaran & P. Praveen Vijaya Raj, 2023. "Prediction of production facility priorities using Back Propagation Neural Network for bus body building industries: a post pandemic research article," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 561-585, February.
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