Themes
  • Data
  • Data challenge
  • Material flow analysis (MFA)
  • Textile

Description

In the digital age, data is everywhere. However, its value lies not in its accumulation, but in its ability to be sorted, analyzed and exploited with relevance. In the context of assessing circular economy strategies applied to end-of-life products, certain quantitative methods such as material flow analysis (or its variants) rely on the processing of large quantities of data. In addition, cartography, or the art of representing data through maps, enables data, information and results to be spatialized. While this approach to representation has the potential to enhance the ability to make informed decisions, it nevertheless introduces an additional degree of complexity into data management. How can a coherent data management strategy be deployed, to enable the environmental efficiency of end-of-use circularity strategies to be assessed on a territory-wide scale? This project presents the processes involved in identifying, collecting, processing and representing data on end-of-use textile flows in mainland France. More specifically, it will look at these stages, given that the sources of data are multiple and complex.

Affiliated research axes

Axis 2: Planning Optimization

2.1 – Support the development and use of tools to analyze and monitor the circular economy

Axis 3: Resource and Product Maximization

3.3 – Identify models for product circularization strategies

Member(s)

  • Mathias Glaus

    Eng., Ph.D. Professor, co-chair of Axis 3 - Maximizing resources and products

Collaborators

Arthur Loubert

Doctorant à l'ÉTS

Deliverables and spin-offs

  • De la donnée à la décision : cartographier les flux pour en évaluer les impacts

    Conférence au congrès de l'Acfas 2025
The RRECQ is supported by the Fonds de recherche du Québec.
Fonds de recherche - Québec