research-article

Defining granularity levels for supply chain traceability based on IoT and blockchain

Authors:

Thomas K. Dasaklis,

Constantinos PatsakisAuthors Info & Claims

COINS '19: Proceedings of the International Conference on Omni-Layer Intelligent Systems

Pages 184 - 190

https://doi.org/10.1145/3312614.3312652

Published: 05 May 2019 Publication History

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.

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Liu JJiang PZhang J(2024)A Granular-Computing-Based Data-Sharing Decision-Making Method for Enabling Blockchain-Based Order Tracking in Social ManufacturingIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.340442511:6(7952-7966)Online publication date: Dec-2024
https://doi.org/10.1109/TCSS.2024.3404425
Cioloca PBureacă EAloman AAciobăniței I(2024)A Proposed Framework for Transparency of Supply Chain using Blockchain and IoT2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI61503.2024.10607523(1-6)Online publication date: 27-Jun-2024
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R TPriya VRaja VNimbkar SMoses JAnandharamakrishnan C(2024)Blockchain Technology and Advancements in the Agri-food IndustryJournal of Biosystems Engineering10.1007/s42853-024-00221-449:2(120-134)Online publication date: 16-Apr-2024
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Index Terms

Defining granularity levels for supply chain traceability based on IoT and blockchain
1. Applied computing
  1. Electronic commerce
  2. Operations research
    1. Consumer products
    2. Industry and manufacturing
      1. Supply chain management
2. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Peer-to-peer architectures

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COINS '19: Proceedings of the International Conference on Omni-Layer Intelligent Systems

May 2019

241 pages

ISBN:9781450366403

DOI:10.1145/3312614

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 May 2019

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COINS '19

COINS '19: INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS

May 5 - 7, 2019

Crete, Greece

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Cited By

Liu JJiang PZhang J(2024)A Granular-Computing-Based Data-Sharing Decision-Making Method for Enabling Blockchain-Based Order Tracking in Social ManufacturingIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.340442511:6(7952-7966)Online publication date: Dec-2024
https://doi.org/10.1109/TCSS.2024.3404425
Cioloca PBureacă EAloman AAciobăniței I(2024)A Proposed Framework for Transparency of Supply Chain using Blockchain and IoT2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI61503.2024.10607523(1-6)Online publication date: 27-Jun-2024
https://doi.org/10.1109/ECAI61503.2024.10607523
R TPriya VRaja VNimbkar SMoses JAnandharamakrishnan C(2024)Blockchain Technology and Advancements in the Agri-food IndustryJournal of Biosystems Engineering10.1007/s42853-024-00221-449:2(120-134)Online publication date: 16-Apr-2024
https://doi.org/10.1007/s42853-024-00221-4
Senthil kumar CVijay Anand R(2024)Security in IOT-Enabled Smart Agriculture SystemsCommunication Technologies and Security Challenges in IoT10.1007/978-981-97-0052-3_14(279-300)Online publication date: 26-Mar-2024
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Yesodha KJagadeesan ALogeshwaran J(2023)IoT applications in Modern Supply Chains: Enhancing Efficiency and Product Quality2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA)10.1109/ICIDeA59866.2023.10295273(366-371)Online publication date: 29-Sep-2023
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Sharma ASharma ABhatia TSingh R(2023)Blockchain enabled food supply chain management: A systematic literature review and bibliometric analysisOperations Management Research10.1007/s12063-023-00363-216:3(1594-1618)Online publication date: 5-May-2023
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