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Congrès International sur l’Analyse du Cycle de Vie Lille, Novembre 2011<br />

Apparel: complexity of a sector<br />

How to choose the best life cycle scenario?<br />

Inès BOUFATEH* , **, Anne PERWUELZ* , **, Besoa RABENASOLO* , ***, Anne-Marie Jolly-Desodt****<br />

*Univ Lille Nord de France, F-59000 Lille, France<br />

**ENSAIT - GEMTEX, F-59056 Roubaix, France<br />

*** Ecole Centrale de Lille - LM²O, F-59651 Villeneuve d’Ascq France<br />

****Institut Prisme - Polytech Orléans, 8 rue Leonard de Vinci, 45072 Orléans Cedex2, France<br />

ines.boufateh@ensait.fr; anne.perwuelz@ensait.fr; besoa.rabenasolo@ensait.fr;<br />

anne-marie.jolly@univ-orleans.fr<br />

Keywords: LCA, scenarios, MultiCriteria Decision Aid (MCDA), apparel industry.<br />

Background<br />

The textile apparel is a simple product: a T-shirt, for example, is made of two components that are<br />

knitted fabric and sewing thread. However, this product comes from a very complex industry. Indeed, a<br />

multitude of materials, manufacturing scenarios and supply chain strategies exist for the same product,<br />

which generates hundreds of production scenarios. Diversity of consumer behavior in use and end of life<br />

phases increases more the number of possible scenarios for the product life cycle. Consequently, the<br />

environmental impact assessment of textiles scenarios is complex. The decision in choosing the best<br />

environmental profile is conflictual. Authors’ objective consists in aiding to highlight answers to these<br />

questions: “how to make the interpretation of LCA results easier in order to identify the good trade-off of<br />

scenarios minimizing the environmental impacts of textiles life cycles?”<br />

Life Cycle Assessment in the textile field<br />

The textile industry is composed of several different activities. In addition to this diversity, the<br />

textile field is also characterized by the variety of raw materials from agriculture, chemical and oil industry.<br />

The textile processes such as fibres preparation, spinning, knitting or weaving, pre-treatments, dyeing,<br />

finishing, garment making and packaging are also quite varied. Therefore, the modelling of “what if”<br />

scenarios in Life Cycle Assessment is complex. Indeed, even the product is simple such as a cotton T-<br />

shirt, the number of possible manufacturing scenarios is huge. If we consider the diversity in cotton fibres’<br />

origins (type of agriculture) and in processes of spinning, knitting, pre-treatments, dyeing and finishing, 720<br />

scenarios should be modelled [1]. In addition to the large number of possible scenarios for the same<br />

product, interpreting textile LCA results is quite complex. In order to illustrate this complexity through a<br />

simple example, four scenarios of a T-shirt life cycle are modelled with changing fibres and adequate<br />

processes for each.<br />

FIG. 1 – Comparison of life cycle scenarios of cotton, lyocell, viscose and polyester T-shirts with<br />

normalization on cotton scenario<br />

FIG. 1 shows that the cotton T-shirt is the best at three environmental impacts: acidification (ADP),<br />

marine aquatic ecotoxicity (MAETP) and photochemical ozone creation (POCP) potentials. If we compare<br />

it to polyester scénario, it is worse at eutrophication (EP), fresh water aquatic ecotoxicity (FAETP), human<br />

toxicity (HTP), ozone layer depletion (ODP) and terrestrial ecotoxicity potentials (TETP). This analysis<br />

does not allow us to make judgment for cotton and polyester scenarios according to their eco-profiles since<br />

we do not have sufficient knowledge about the weightiness of each impact.<br />

In order to compare and to rank life cycle scenarios according to their eco-profiles, the need to<br />

apply a multicriteria decision aid (MCDA) method increases with the number of assessed scenarios.<br />

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