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Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 630))

Abstract

Supply chains face various challenges for collecting reliable, transparent, and up-to-date data due to their increased complexity and globalization. This threatens their sustainability and limits the efficiency of environmental impact assessment of products with Life Cycle Assessment (LCA) methodology. This paper explores the opportunities, limitations, and research paths for assessing products' environmental impact using blockchain-based traceability data based on a systematic literature review. Results showed that blockchains are mainly used for product traceability and could be further used for the environmental impact assessment of products. A first architecture model and integration framework was proposed in the literature for the integration of blockchain-based LCA systems. However, the maturity of blockchain and supply chain organization are the prevalent barriers to implementing these systems. Further research is essential to shape these first results with strong opportunities identified.

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Author information

Authors and Affiliations

  1. Ecole Polytechnique de Montréal, 2500, Chemin de Polytechnique, Montréal, H3T1J4, Canada

    Vincent Carrières & Robert Pellerin

  2. Arts et Métiers, 151 Boulevard de l’Hospital, 75013, Paris, France

    Vincent Carrières

  3. Institut Français de la Mode, 34 quai d’Austerlitz, 75013, Paris, France

    Andrée-Anne Lemieux

Authors
  1. Vincent Carrières
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  2. Andrée-Anne Lemieux
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  3. Robert Pellerin
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Corresponding author

Correspondence to Vincent Carrières .

Editor information

Editors and Affiliations

  1. IMT Atlantique, Nantes, France

    Alexandre Dolgui

  2. Centrale Nantes, Nantes, France

    Alain Bernard

  3. IMT Atlantique, Nantes, France

    David Lemoine

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Carrières, V., Lemieux, AA., Pellerin, R. (2021). Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_13

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  • DOI: https://doi.org/10.1007/978-3-030-85874-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85873-5

  • Online ISBN: 978-3-030-85874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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