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Peer-reviewedCC BY-NC-ND 4.0Proceedings of the Design Society: International Conference on Engineering Design

LCA simplification in the context of packaging reuse loops

  • Juan Sebastian Rodriguez Florez
  • Gwenola Yannou-Le Bris
  • Juliana Serna
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Abstract

This paper shows the implementation of the Global Sensitivity Analysis (GSA) as a Life Cycle Assessment simplification (LCA) method to identify the most influential design parameters for the design of packaging reuse loops. The practical execution of GSA relies on Monte Carlo simulations to propagate the input parameter effects in the LCA model and Sobol indexes to quantify the variance contribution of each parameter. This methodology was applied to a case study in the French region of Île-de-France. This method allows identify the key design parameters to prioritize the design key decisions.

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Cite

BibTeXRIS
BibTeX
@article{florez2026simplification,
  title = {{LCA simplification in the context of packaging reuse loops}},
  author = {Juan Sebastian Rodriguez Florez and Gwenola Yannou-Le Bris and Juliana Serna},
  journal = {Proceedings of the Design Society: International Conference on Engineering Design},
  year = {2026},
  month = jul,
  doi = {10.1017/pds.2026.10508},
  url = {https://hal.science/hal-05711032v1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - LCA simplification in the context of packaging reuse loops
AU  - Juan Sebastian Rodriguez Florez
AU  - Gwenola Yannou-Le Bris
AU  - Juliana Serna
PY  - 2026
DA  - 2026/07/02
JO  - Proceedings of the Design Society: International Conference on Engineering Design
DO  - 10.1017/pds.2026.10508
UR  - https://hal.science/hal-05711032v1
AB  - This paper shows the implementation of the Global Sensitivity Analysis (GSA) as a Life Cycle Assessment simplification (LCA) method to identify the most influential design parameters for the design of packaging reuse loops. The practical execution of GSA relies on Monte Carlo simulations to propagate the input parameter effects in the LCA model and Sobol indexes to quantify the variance contribution of each parameter. This methodology was applied to a case study in the French region of Île-de-France. This method allows identify the key design parameters to prioritize the design key decisions.
SN  - 2220-4342
ER  -