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Other literature type . 2026
License: CC BY
Data sources: ZENODO
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Project deliverable . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2026
License: CC BY
Data sources: Datacite
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CASE STUDY APPLIED TO TEXTILE INDUSTRY PRODUCTS [GRIP - D3.1.2]

Authors: University of Insubria;

CASE STUDY APPLIED TO TEXTILE INDUSTRY PRODUCTS [GRIP - D3.1.2]

Abstract

The present study aims to analyse the role of reverse logistics in supporting the transition of thetextile sector from a linear to a circular economy model, with a particular focus on the textile casestudy represented by Mascioni S.p.A. In line with Task 3.1.5 of the NODES flagship project, theresearch investigates the management of backward flows of materials and products at the endof their life cycle — including textiles, packaging, and production residues — to enable recovery,recycling, refurbishment, and reuse.

Keywords

Circular economy, CIRCULAR ECONOMY, Spoke 2-Green Tech and sustainable industries, GRIP, ECS00000026

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green