Understanding textile value chains: Dynamic Probabilistic Material Flow Analysis of textile in the European Union

Dynamic Probabilistic Mass Flow Analysis (DPMFA) of textiles in the EU-27 in the years 2019 and 2035;. Uncertainty analysis of DPMFA results through Monte Carlo approach;. Estimates of textile waste and its management along the value chain are provided;. 11 Mt of used and waste textiles are generated in the EU, of which approximately 80% either incinerated is and/or landfilled (8.5 Mt). The lack of separate collection and the export of non-sorted fractions to non-OECD countries are the main problems observed for textile waste management. Textile production and consumption has been increasing over time, along with an increase in waste production. However, there is a substantial gap in knowledge about the textile flows. The European Union has set ambitious target in relation to circularity of the textile sector. Hence, it is essential to understand the complex system of textile production, consumption and disposal to identify the most effective pathways towards circularity. To the best of our knowledge, an overview of textiles flows throughout the whole EU textiles value chain, including both products manufacturing and end of life, remains elusive. To address this gap, this study presents a Dynamic Probabilistic Mass Flow Analysis (DPMFA) of textiles in the EU-27 in the year 2019 (reference year) and 2035 (baseline). It is estimated that annually 11 Mt of used and waste textiles are generated in the EU, of which approximately 80% are either incinerated or landfilled (8.5 Mt).

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Publication Details

Journal
Resources Conservation and Recycling
Published
2024-09-13
DOI
https://doi.org/10.1016/j.resconrec.2024.107888
Citations
14
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
7.76
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article

Understanding textile value chains: Dynamic Probabilistic Material Flow Analysis of textile in the European Union

Serenella Sala, Carla Caldeira, Dries Huygens, Loredana Napolano et al.
14 citations
Resources Conservation and Recycling
Sustainable Supply Chain Management
7.76
article

Understanding textile value chains: Dynamic Probabilistic Material Flow Analysis of textile in the European Union

Serenella Sala, Carla Caldeira, Dries Huygens, Loredana Napolano, Jacopo Foschi
article en
14 citations

Abstract

Dynamic Probabilistic Mass Flow Analysis (DPMFA) of textiles in the EU-27 in the years 2019 and 2035;. Uncertainty analysis of DPMFA results through Monte Carlo approach;. Estimates of textile waste and its management along the value chain are provided;. 11 Mt of used and waste textiles are generated in the EU, of which approximately 80% either incinerated is and/or landfilled (8.5 Mt). The lack of separate collection and the export of non-sorted fractions to non-OECD countries are the main problems observed for textile waste management. Textile production and consumption has been increasing over time, along with an increase in waste production. However, there is a substantial gap in knowledge about the textile flows. The European Union has set ambitious target in relation to circularity of the textile sector. Hence, it is essential to understand the complex system of textile production, consumption and disposal to identify the most effective pathways towards circularity. To the best of our knowledge, an overview of textiles flows throughout the whole EU textiles value chain, including both products manufacturing and end of life, remains elusive. To address this gap, this study presents a Dynamic Probabilistic Mass Flow Analysis (DPMFA) of textiles in the EU-27 in the year 2019 (reference year) and 2035 (baseline). It is estimated that annually 11 Mt of used and waste textiles are generated in the EU, of which approximately 80% are either incinerated or landfilled (8.5 Mt).

Resources Conservation and RecyclingVol. 212
European Commission (BE), Unisys (Belgium) (BE)
Decent work and economic growth
Openalex Percentile: Top 3%
Sustainable Supply Chain Management
7.76
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