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Measuring the Value of Blockchain Traceability in Supporting LCA for Textile Products

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Listed:
  • Vincent Carrières

    (Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada)

  • Andrée-Anne Lemieux

    (Institut Français de la Mode, Sustainability Chair IFM Kering, 75013 Paris, France)

  • Manuele Margni

    (Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
    School of Engineering, HES-SO: University of Applied Sciences and Arts Western Switzerland, 1950 Sion, Switzerland)

  • Robert Pellerin

    (Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada)

  • Sylvain Cariou

    (Crystalchain, 75008 Paris, France)

Abstract

The efficiency of sustainability assessments of textile products is generally prevented because of a lack of available and reliable data across complex and globalized supply chains. The purpose of this study is to evaluate how blockchain traceability data can improve the Life Cycle Assessment (LCA) of textile products and to measure the actual value of exploiting this specific traceability data. To do so, a case study consisting of two LCAs modeling the production of wool top lots in China was conducted. A first LCA was conducted with generic data and the second with the added value of specific blockchain traceability data. Based on the second LCA, different wool top lot composition scenarios were then modeled to account for the environmental impact of different farming practices. Two main results were obtained: the environmental impact of wool top lots can vary up to +118% between two batches depending on their composition, and the specific data changes drastically from the impact calculated with generic data, with +36% calculated impact for the same wool composition of batches. Therefore, it was concluded that blockchain traceability data could be a strong asset for conducting LCA at the batch level by providing differentiated data on batch composition and origin and providing readily available specific data for a more representative assessment.

Suggested Citation

  • Vincent Carrières & Andrée-Anne Lemieux & Manuele Margni & Robert Pellerin & Sylvain Cariou, 2022. "Measuring the Value of Blockchain Traceability in Supporting LCA for Textile Products," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2109-:d:747981
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    References listed on IDEAS

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    1. David Teh & Tehmina Khan & Brian Corbitt & Chin Eang Ong, 2020. "Sustainability strategy and blockchain-enabled life cycle assessment: a focus on materials industry," Environment Systems and Decisions, Springer, vol. 40(4), pages 605-622, December.
    2. Michael Wang & Bill Wang & Ahmad Abareshi, 2020. "Blockchain Technology and Its Role in Enhancing Supply Chain Integration Capability and Reducing Carbon Emission: A Conceptual Framework," Sustainability, MDPI, vol. 12(24), pages 1-17, December.
    3. Johannes Sedlmeir & Hans Ulrich Buhl & Gilbert Fridgen & Robert Keller, 2020. "The Energy Consumption of Blockchain Technology: Beyond Myth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 599-608, December.
    4. Arim Park & Huan Li, 2021. "The Effect of Blockchain Technology on Supply Chain Sustainability Performances," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
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    Cited by:

    1. Ahmed, Wafaa A.H. & MacCarthy, Bart L., 2023. "Blockchain-enabled supply chain traceability – How wide? How deep?," International Journal of Production Economics, Elsevier, vol. 263(C).

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