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Improving environmental sustainability in the use phase of the product life cycle: Case Reima Oy

Valovuori-Kilpi, Katja (2020)

 
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Valovuori-Kilpi, Katja
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020120826814
Tiivistelmä
Reima Oy is a Finnish clothing brand that produces functional casual wear and outer wear for 0-12 years-old active children. The aim of this thesis is to provide suggestions for Reima Oy on how to improve the sustainability of the garment use phase and how to engage customers more to sustainability.

Based on 93 responses, the profile of Reima customers’ laundry behavior was formed and it was used as a base for further calculations. Data was collected with a constructed, quantitative consumer survey from Reima Club members from Europe. Additional information was collected as a desktop study. The results were used for Material Input per Service (MIPS) calculations to measure the environmental sustainability of the washing and drying stages of the use phase in the garment lifecycle. MIPS measures the material flow, and in this research the material flow of machine washing per load and per one season. Four different scenarios were formed with the assumed improvements in laundry habits. The results of the scenarios were compared to survey based calculations to find out how the changes in set affected.

Data for the research was collected from Reima Club members about the laundering of children’s outerwear in the autumn-winter season (October-February). In addition to laundry behavior, respondents were asked how they feel about second hand and re- pairing services if Reima were to offer them.

The outcomes of this thesis are a theoretical base that includes the garment lifecycle, user and laundry behavior, tools to measure environmental sustainability and sustain- ability communication. In addition, the visualized survey results and material Input calculations are among the outcomes. As a result, the laundry profile of typical European Reima customer was identified and was used as a base for suggestions. According to calculations, the biggest change could be achieved by decreasing the amounts of loads per season.
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