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• W2940017685 abstract "Identifying the optimal granularity level of traceable units is necessary when implementing traceability, particularly in food supply chains. In this paper we propose a generic framework for defining granularity levels based on product's unique characteristics, supply chain processes and stakeholders engagement. We determine different levels of granularity by using smart contracts within a blockchain-enabled supply chain traceability architecture. The granularity relates to different levels depending on the application of information within a company and between companies across complex supply chain networks. The applicability of the proposed framework is demonstrated with a food supply chain use case scenario by developing a local private blockchain-enabled architecture. The overall benefits of the proposed model are discussed along with several fruitful areas for further research directions." @default.
• W2940017685 created "2019-04-25" @default.
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• W2940017685 date "2019-05-05" @default.
• W2940017685 modified "2023-10-18" @default.
• W2940017685 title "Defining granularity levels for supply chain traceability based on IoT and blockchain" @default.
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• W2940017685 doi "https://doi.org/10.1145/3312614.3312652" @default.
• W2940017685 hasPublicationYear "2019" @default.
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